KR100742100B1 - Direct method and device for calculating fir filter-coefficients - Google Patents

Abstract

A method for operating a coefficient of an FIR(Finite Impulse Response) filter and an apparatus therefor are provided to sufficiently remove a ghost and simultaneously and quickly operate the coefficient of the FIR filter by calculating an inverse response by simple calculation by using an impulse response of a channel. A direct method equalizer(410) produces an inverse response for removing a ghost at predetermined amplification from an impulse response of a channel. An extended direct method equalizer(420) produces a characteristic equation for successively heightening amplification by using the inverse response and removing the ghost at the predetermined amplification. A filter coefficient determining unit(440) determines a coefficient of an FIR filter from the characteristic equation of the extended direct method equalizer(420).

Description

Filter coefficient calculation method and apparatus thereof of F eye filter {Direct method and device for calculating FIR Filter-coefficients}

1 illustrates an example of a typical multipath channel.

2 is a block diagram of a conventional equalizer.

3 is a detailed block diagram of the conventional filter shown in FIG.

4 is an example of a block diagram of an apparatus for calculating a filter coefficient of a F-Al filter according to a preferred embodiment of the present invention.

5 is an example of a method for calculating the coefficients of a FC filter in accordance with a preferred embodiment of the present invention.

Fig. 6 is an example of the Z conversion form of a typical F-Al filter when the order of the filter is N;

FIG. 7 is an example of an FC filter in two paths of the prior art. FIG.

FIG. 8 is an example of an F Eye filter when the conventional technique is applied to a three path channel. FIG.

Figure 9 is an example of a F eye filter of the second equalizer 420 for removing the ghost of the three-path channel (3-path channel) in accordance with a preferred embodiment of the present invention at three times.

FIG. 10 is a diagram illustrating a mathematical expression when a conventional technique is applied to a three-path channel. FIG.

FIG. 11 is a diagram illustrating the equation in the case of removing the ghost of a three-path channel at a triple magnification according to a preferred embodiment of the present invention. FIG.

을 산출하는 일례. 12 is in accordance with a preferred embodiment of the present invention

An example of calculating

FIG. 13 illustrates an example of repeating block 1200-3 of FIG. 12 once again.

14 is an example of a graph illustrating the impulse response of a 4-path channel made in a matlab for testing a preferred embodiment of the present invention.

의 특성을 도시한 그래프.15 is an inverse response calculated by the first equalizer 410 according to the preferred embodiment of the present invention.

Graph showing the characteristics of the.

로 고스트를 제거한 결과의 일례를 도시한 그래프. FIG. 16 shows the inverse response described in FIG. 15

Graph showing an example of the result of removing the ghost.

로 구현한 등화기의 임펄스 응답을 도시한 그래프.17 is in accordance with a preferred embodiment of the present invention

Graph showing the impulse response of an equalizer.

로 고스트를 제거한 결과의 일례를 도시한 그래프.FIG. 18 is described with reference to FIG. 17.

Graph showing an example of the result of removing the ghost.

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an equalizer, and more particularly, to a method and apparatus for calculating F-Al filter coefficients.

While the video signal from a broadcasting station is transmitted, it is reflected by an obstacle such as a mountain or a building and received by a reception antenna, or it is reflected without an impedance matching of a transmission path, thereby forming a multi-path channel. The appearance of reflected video signals other than the video signal is called ghost. Since the multi-channel received signal is closely related to the original image, the multi-channel received signal severely affects the picture quality.

Equalizers are used to eliminate ghosts. The equalizer first extracts a reference signal included in an image signal transmitted by a transmitter of a broadcasting station for a predetermined time, generates a reference signal of the same type as that of the extracted reference signal, and compares the two reference signals. Compute the impulse response and get the reverse response to compensate for the distortion of the signal.

However, in the prior art, in the process of calculating the characteristics of the multipath channel and obtaining the back response, the main-path signal and the post ghost in spite of being a multipath channel. There is a problem of calculating only considering).

In addition, in the related art, a method for calculating a filter coefficient for an F-Al filter and a circuit configuration or apparatus for the same are already known. However, a large amount of calculation is required for counting, so that the performance of the equalizer and the output image are excellent. There is a problem that does not show.

In order to solve the conventional problems as described above, the present invention proposes a method and apparatus for calculating a filter coefficient of a F-Al filter in consideration of being multi-path.

을 이용하여 간단한 계산으로 역응답

및

를 산출함으로써, 고스트를 충분히 제거함과 동시에 신속하게 에프아이알 필터의 필터계수를 연산할 수 있는 방법을 제안하는 것이다.In addition, the present invention provides an impulse response of a channel.

Response with simple calculation using

And

It is proposed to calculate a filter coefficient of the F-Al filter while eliminating ghosts sufficiently by calculating.

In addition, the present invention proposes a simple and efficient filter coefficient calculation method and apparatus therefor that can sequentially increase the magnification of removing ghosts by only repeating the calculation of the same process without any additional calculation. .

In order to achieve the above object, according to an aspect of the present invention, the filter coefficient calculation of the FIR filter for recovering the original signal from the received signal passing through the multi-path channel In the method,

에서 고스트(ghost)를 미리 지정된

배율로 제거하는 역응답

을 산출하는 단계; (b) 제2등화부에서 수학식

에 의해 상기 고스트를 미리 지정된

배율로 제거하는 특성방정식

을 산출하는 단계; 및 (c) 상기

으로부터 에프아이알 필터의 계수를 결정하는 단계를 포함하되,

인 임의의 자연수이고,

이며,

는 고스트를

배율로 제거하는 상기 제2등화부의 특성방정식인 것을 특징으로 하는 에프아이알 필터의 필터 계수 연산 방법이 제공된다.(a) Impulse response of the channel in the first equalizer

Pre-specified ghosts

Reverse response to remove by magnification

Calculating; (b) Equation in the second equalizer

Pre-specified the ghost by

Characteristic equation to remove by magnification

Calculating; And (c) said

Determining the coefficients of the F eye filter from

Is any natural number that is

Is,

Ghost

Provided is a filter coefficient calculation method of a F-Al filter, characterized in that it is a characteristic equation of said second equalizing unit removed at a magnification.

는 상기

의 역수를 테일러 정리를 이용하여 산출할 수 있다.remind

Above

The inverse of can be calculated using the Taylor theorem.

는 상기 고스트를 2배율로 제거하는 것일 수 있다.remind

May be to remove the ghost at 2 times.

를 주경로부분(main path term)과 부경로 부분(sub-path term)으로 분리하는 단계; 및 상기 부경로부분에

를 곱하여, 주경로부분에 더하여 상기

를 산출할 수 있다.In the step (a),

Separating the main path part into a main path term and a sub-path term; And the secondary path portion

Multiply by the above,

Can be calculated.

을 산출하는 단계가 상기(a) 단계 이전에 더 수행될 수 있다.The reference signal extracted from the received signal and the previously stored reference signal are used.

The calculating may be further performed before the step (a).

에서 고스트를 미리 지정된

배율로 제거하는 특성방정식

를 산출하는 제1 등화부; 상기 제1 등화부의 특성방정식

으로부터 상기 고스트를 미리 지정된

배율로 제거하는 특성방정식

를 수학식

에 의해 산출하는 제 2등화부; 및 상기 제 2등화부의 특성방정식

으로부터 에프아이알 필터의 계수를 결정하는 필터 계수 결정부를 포함하되,

인 임의의 자연수이고,

이며,

는 고스트를

배율로 제거하는 제2등화부의 특성방정식인 것을 특징으로 하는 에프아이알 필터의 필터 계수 연산장치가 제공된다.According to another aspect of the present invention, an apparatus for calculating a filter coefficient of a F-Al filter for recovering an original signal from a received signal passing through a multipath channel, the impulse response of the channel

Pre-designated ghosts

Characteristic equation to remove by magnification

A first equalizing unit calculating a; Characteristic equation of the first equalizer

Predefined ghost from

Characteristic equation to remove by magnification

To the equation

A second equalizing unit calculated by; And a characteristic equation of the second equalizing unit

A filter coefficient determination unit for determining a coefficient of an F-IF filter from

Is any natural number that is

Is,

Ghost

A filter coefficient calculating device for an F-idal filter, characterized in that it is a characteristic equation of a second equalizing unit removed at a magnification.

의 역수를 테일러 정리를 이용하여 상기

를 산출할 수 있다.The first equalizing unit is

Recall the Inverse of Using Taylor Theorem

Can be calculated.

는 상기 고스트를 2배율로 제거하는 것 일 수 있다.remind

May be to remove the ghost at a rate of 2 times.

를 주경로부분(main path term)과 부경로부분(sub-path term)로 분리하고, 상기 부경로부분에

를 곱하여, 주경로부분에 더하여 상기

를 산출할 수 있다.The first equalizing unit is

Is divided into a main path term and a sub-path term, and the

Multiply by the above,

Can be calculated.

에서 고스트(ghost)를 미리 지정된

배율로 제거하는 역응답

을 산출하는 단계; 수학식

에 의해 상기 고스트를 미리 지정된

배율로 제거하는 특성방정식

을 산출하는 단계; 및 상기

으로부터 에프아이알 필터의 계수를 결정하는 단계를 실행하되,

인 임의의 자연수이고,

이며,

는 고스트를

배율로 제거하는 제2등화부의 특성방정식인 것을 특징으로 하는 프로그램이 기록된 기록매체가 제공된다.According to yet another aspect of the present invention, a program of instructions that can be executed by an F Eye filter is tangibly embodied in order to perform a channel equalization method, and on a recording medium recording a program that can be read by the F Eye filter. Impulse response of the channel

Pre-specified ghosts

Reverse response to remove by magnification

Calculating; Equation

Pre-specified the ghost by

Characteristic equation to remove by magnification

Calculating; And said

Determining the coefficients of the F eye filter from

Is any natural number that is

Is,

Ghost

There is provided a recording medium on which a program is recorded, which is a characteristic equation of a second equalizing unit which is removed at a magnification.

As the invention allows for various changes and numerous embodiments, particular embodiments will be illustrated in the drawings and described in detail in the written description. However, this is not intended to limit the present invention to specific embodiments, it should be understood to include all modifications, equivalents, and substitutes included in the spirit and scope of the present invention. In describing the drawings, similar reference numerals are used for similar elements.

Terms such as first, second, A, and B may be used to describe various components, but the components should not be limited by the terms. The terms are used only for the purpose of distinguishing one component from another. For example, without departing from the scope of the present invention, the first component may be referred to as the second component, and similarly, the second component may also be referred to as the first component. The term and / or includes a combination of a plurality of related items or any item of a plurality of related items.

When a component is referred to as being "connected" or "connected" to another component, it may be directly connected to or connected to that other component, but it may be understood that other components may be present in between. Should be. On the other hand, when a component is said to be "directly connected" or "directly connected" to another component, it should be understood that there is no other component in between.

The terminology used herein is for the purpose of describing particular example embodiments only and is not intended to be limiting of the present invention. Singular expressions include plural expressions unless the context clearly indicates otherwise. In this application, the terms "comprise" or "have" are intended to indicate that there is a feature, number, step, operation, component, part, or combination thereof described in the specification, and one or more other features. It is to be understood that the present invention does not exclude the possibility of the presence or the addition of numbers, steps, operations, components, components, or a combination thereof.

Unless defined otherwise, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art. Terms such as those defined in the commonly used dictionaries should be construed as having meanings consistent with the meanings in the context of the related art and shall not be construed in ideal or excessively formal meanings unless expressly defined in this application. Do not.

1 is a diagram illustrating an example of a general multipath channel.

The strongest signal of the broadcast signal is called a main-path signal, and based on this, the previously arrived signal is called pre-ghost and the later arrived signal is called post-ghost.

In this case, the pre-ghost, main-path signal, and post-ghost are delayed in time because they were originally the same signal.

Referring to FIG. 1, there are several paths from which the image signal is transmitted from the transmitter 100 to the receiver 101. Based on the strongest signal, the main-path signal 131, the previously arrived pre-ghost 134 and the later arrived post-ghost 134 are shown. .

Here, in FIG. 1, only one post-ghost 134 and one pre-ghost 130, which are sub-path signals, are shown, but in reality, several sub-path signals may exist. It can be obvious.

For example, assume that there are five postghosts and two preghosts. In this case, there will be eight paths including the main path signal.

In the prior art, when calculating the inverse response of the equalizer using the impulse response of the channel, it is calculated by assuming one main path signal and one postghost, that is, two paths (two paths). . However, this is a problem that does not reflect the reality that there are several ghosts.

개의 멀티패스(multi path)를 반영하여 역응답을 구할 수 있다. 여기서,

은 임의의 자연수일 수 있다.According to a preferred embodiment of the present invention, a plurality of individuals

The reverse response can be obtained by reflecting the multipaths of the four multipaths. here,

May be any natural number.

Hereinafter, after briefly examining the conventional equalizer in FIGS. 2 to 3, a preferred embodiment of the present invention will be described with reference to FIG. 4.

2 is a block diagram of a conventional equalizer.

Referring to FIG. 2, a conventional equalizer includes an A / D converter 200 for converting an analog video signal input into a digital signal, and a reference signal extracting unit for extracting a reference signal included in the video signal converted into a digital signal. 230, a reference signal generator 250 generating a reference signal of the same type as the extracted reference signal, and a reference signal extracted from the reference signal generator 250 and a reference signal extracted from the reference signal extractor 230. Compensation for the distortion of the image signal based on the filter coefficient calculation unit 240 and the filter coefficient calculated by the filter coefficient calculation unit 240 to calculate the channel characteristics of the video signal by comparing the The filter 210 generates a ghost-free compensation signal and a D / A converter 220 converts the compensation signal generated from the filter into an analog signal. The reference signal generator 250 may be, for example, a memory device such as a ROM or an electronic circuit that generates a reference signal in real time. Since this is a known method, a description thereof will be omitted.

3 is a detailed block diagram of the conventional filter shown in FIG.

Referring to FIG. 2, the filter 210 includes an FIR filter 300 for removing pre-ghosts and an IIR filter 310 for removing post-ghosts. It includes.

The filter coefficient calculator 240 calculates a channel characteristic of an image signal input to the equalizer by using the reference signal received from the reference signal extractor 230 and the reference signal received from the reference signal generator 250. In addition, the filter coefficients of the FAL filter 300 and the filter coefficients of the IAL filter 310 are calculated using the calculated channel characteristics of the image signal, and the calculated filter coefficients are transmitted to the respective filters 300 and 310, respectively. . Of course, the filter coefficient calculator 240 may include a channel characteristic calculator 340 that calculates a video signal channel characteristic, an FIR filter coefficient calculator 320 that calculates a filter coefficient of an FIR filter, and an IR filter IIR. Eye filter coefficient calculation unit 330 for calculating the filter coefficient of the filter) may be included.

The filter coefficient calculating method and apparatus of the F eye filter according to the exemplary embodiment of the present invention further embody the F eye filter coefficient calculating unit 320.

4 is a block diagram of an apparatus for calculating filter coefficients of a FAl filter according to a preferred embodiment of the present invention, and FIG. 5 is a flowchart illustrating a method of calculating the coefficients of a Fal filter according to a preferred embodiment of the present invention. .

Although not shown in FIG. 4, the FAl filter coefficient calculating device 400 according to the preferred embodiment of the present invention may include the channel characteristic calculating unit 340 described with reference to FIG. 3, and further, the reference signal described with reference to FIG. 2. It will be apparent to those skilled in the art that the extraction unit 230 and the reference signal generator 250 may be included.

가 에프아이알 필터계수 연산장치(400)의 직접결정 등화부(410)에 입력되는 것으로 가정하여 설명한다.Hereinafter, the impulse response of the channel calculated by the channel characteristic calculator 340

It will be described on the assumption that is input to the direct decision equalizer 410 of the FAl filter coefficient calculator 400.

Referring to FIG. 4, the FAl filter coefficient calculating unit 400 includes a direct method equalizer (Direct Method Equalizer, hereinafter referred to as a 'first equalizer') 410, and an extended direct method equalizer (Extended Direct Method Equalizer). , Hereinafter referred to as a 'second equalizer' 420, a precision detector 430, and a filter coefficient determiner 440.

Each component 410, 420, 430, and 440 of the FAl filter coefficient calculating device 400 shown in FIG. 4 will be described with reference to FIG. 5.

을 산출하는 과정이 단계 S510전에 수행될 수 있음은 당업자에게 있어 자명하다 할 것이다.Although not shown in FIG. 5, the FAl filter coefficient calculating device according to the preferred embodiment of the present invention may include a channel characteristic calculating unit 340, and a reference signal extracted from the image signal by the channel characteristic calculating unit 340. Impulse response of channel using separately generated reference signal

It will be apparent to those skilled in the art that the process of calculating may be performed before step S510.

을 이용하여 미리 지정된

배율로 고스트를 제거하는 역응답

를 산출한다. Referring to FIG. 5, in operation S510, the first equalizer 410 may use the characteristic equation of the input channel.

Predefined using

Reverse response to remove ghost at magnification

Calculate

Here, the magnification means the ratio of the ghost to the decibel after equalizing at the original decibel of the ghost.

가 3이고, 고스트가 -15 데시벨인 경우 3배율로 등화(equalize)하면 고스트는 -45데시벨이 된다. 이하에서는,

가 3인 경우, 제1등화부(410)에서 산출한 역응답

가 3배율로 고스트를 제거하는 경우를 예로 들 어 설명한다.E.g. magnification

Equals 3 and the ghost equals -15 decibels, equalizing at a 3x ratio results in a ghost of -45 decibels. In the following,

Is 3, the inverse response calculated by the first equalizer 410

An example will be described in which ghost is removed at a 3x magnification.

In a video signal passing through a multi-path channel, the gain of the ghost is generally small at -15 decibels, and the gain of the ghost that can be detected by the human eye is approximately -40 decibels. to be. Therefore, when removed at 3x magnification, good image quality can be obtained by equalizing the ghost of -15 decibels to -45 decibels.

을 이용하여 배율이 하나 더 높은 4배율로 고스트를 제거하는 특성방정식

을 산출한다. (여기서 특성방정식

는 고스트를 4배율로 제거하는 제2등화부의 임펄스응답을 의미한다.) 즉, 고스트가 -15데시벨인 경우, 고스트를 -60데시벨로 제거하는 특성방정식

을 산출한다. Subsequently, in step S520, the second equalizing unit 420 removes the ghost at a 3x magnification.

Characteristic equation to remove ghost at 4 times magnification by using

To calculate. Where the characteristic equation

Implies the impulse response of the second equalizing unit that removes ghosts at a rate of 4 times.) That is, the characteristic equation for removing ghosts by -60 decibels when the ghost is -15 decibels.

To calculate.

이

배율로 고스트를 제거하는 경우, 단계 S520에서 제2등화부는 고스트를

배율로 제거하는 특성방정식

을 산출한다.According to a preferred embodiment of the present invention, the inverse response calculated by the first equalizer

this

When the ghost is removed at a magnification, the second equalizing unit removes the ghost in step S520.

Characteristic equation to remove by magnification

To calculate.

을 산출한 경우, 단계 S520에서 고스트를 순차적으로 배율을 높여서 4배율로 제거하는 특성방정식

을 산출할 수 있다. For example, inverse response to remove ghosts at a 3x magnification in the first light unit 410.

In this case, the characteristic equation for removing the ghost at 4 magnification by sequentially increasing the magnification at step S520.

Can be calculated.

을 산출한 경우, 단계 S520에서 고스트를 순차적으로 배율을 높여서 3배율로 고스 트를 제거하는 특성방정식

을 산출할 수 있다.For example, inverse response to remove ghosts at a 2x magnification in the first light unit 410.

In the step S520, the characteristic equation for removing the ghost at 3 times by sequentially increasing the magnification of the ghost in step S520.

Can be calculated.

배율과 제2등화부(420)에서 산출한 특성방정식

의 정밀도인 4배율을 비교한다. In step S530, the precision detector 430 is predetermined.

Magnification and Characteristic Equation Calculated by Second Light Equalizer 420

Compare the 4x magnification, which is the precision of.

배율은 고스트를 최종적으로 제거하고자 하는 배율이며, 등화기가 고스트를 제거하는 환경에 대응하여 개별적인

배율이 필요할 수 있다. At this time,

Magnification is the magnification to finally remove the ghost.

Magnification may be required.

배율이 필요할 수 있다. 즉, 고스트의 최대 크기가 -30데시벨인경우에는, 육안으로 감지할 수 있는 고스트의 크기가 대략 -40데시벨인 것을 고려할 때, 2배율로 제거하면 충분히 양호한 화질을 얻을 수 있다. 따라서

은 2이면 충분하며, 그보다 높은 배율을 설정하는 경우는 역으로 에프아이알 필터의 계수의 연산속도가 느려질 수 있다. For example, if the ghost is weak and the video signal reception is good,

Magnification may be required. That is, when the maximum size of the ghost is -30 decibels, considering that the size of the ghost that can be detected by the naked eye is approximately -40 decibels, it is possible to obtain a sufficiently good image quality by removing at a 2x magnification. therefore

2 is sufficient, and in the case of setting a higher magnification, the operation speed of the coefficients of the F eye filter may be slowed.

배율이 필요할 수 있음은 상술한 바를 고려할 때 당업자에게 있어 자명할 것이다.On the contrary, in an environment where reception of video signals is poor due to the presence of many ghosts,

It will be apparent to one skilled in the art given the foregoing that magnification may be required.

배율은 정밀도 감지부(430)에 저장될 수 있다, 또는 별도의 메모리(미도시) 구비되어 메모리에 저장될 수 있고, 더 나아가 외부 인터페이스부(미도시)가 구비되어

배율이 변경될 수 있음은 당업자에게 자 명할 것이다.Also, prespecified prespecified

Magnification may be stored in the precision sensing unit 430, or may be provided in a separate memory (not shown) and stored in the memory, and further provided with an external interface unit (not shown).

It will be apparent to those skilled in the art that the magnification can be changed.

은 10배율일 수 있다. 즉 에프아이알 필터계수 연산장치가 10배율의 정밀도로 고스트를 제거하는 에프아이알 필터의 계수를 연산하고자 하는 경우이다. 예를 들어 이득(gain)이 -15데시벨인 고스트를 -150데시벨로 등화(equalize)하고자 하는 경우이다.E.g

May be 10 times. In other words, it is a case where the F-Al filter coefficient calculating device wants to calculate the coefficient of the F-idal filter which removes the ghost with a precision of 10 times. For example, you want to equalize a ghost with a gain of -15 decibels to -150 decibels.

의 정밀도인 4배율과 미리 지정된 10배율을 비교하고, 더 높은 정밀도의 특성방정식이 필요하므로 다시 단계 S520으로 이어진다.At this time, the precision detector 430 is a characteristic equation

Compare the 4 times magnification, which is a precision of 10, with a predetermined 10 times magnification, and since a higher precision characteristic equation is required, the flow proceeds to step S520 again.

을 이용하여 순차적으로 배율을 높여 5배율로 고스트를 제거하는

를 산출한다.In step S520, which is repeated again, the second lighting unit 420

Increase sequential magnification using to remove ghost at 5x magnification

Calculate

의 정밀도인 5배율과 미리지정된 10배율을 비교하고, 더 높은 정밀도의 특성방정식이 필요하므로 다시 단계 S520으로 이어진다.Subsequently, the precision detector 430 in step S530

Compares the 5 times magnification, which is a precision of 10, with a predetermined 10 times magnification, and since a higher precision characteristic equation is required, the flow proceeds to step S520 again.

을 산출하면, 단계 S530에서 미리 지정된

의 값, 즉 10배율과 비교하여 같으므로 단계 S540으로 이어진다. After repeating as described above, the characteristic equation that removes the ghost at 10 times the second equalizing unit in step S520

Is calculated, it is specified in advance in step S530.

This is equal to the value of, i.e., 10x, and therefore proceeds to step S540.

를 산출할 때까지, 단계 S520과 단계 S530은 반복되어진다.That is, when the FAl filter coefficient calculating device tries to calculate the coefficient of the FAl filter which removes the ghost with a precision of 10 times, the second equalizer removes the ghost at 10 times.

Step S520 and step S530 are repeated until the operation is calculated.

에서 에프아이알 필터계수를 결정한다.Subsequently, in step S540

Determine the F eye filter coefficient at.

가 3배율이고 (예를 들어,

가 이득(gain)이 -15 데시벨인 고스트를 -45데시벨로 제거하는 역응답인경우),

이 10배율인 경우(즉, 에프아이알 필터계수 연산장치가 -15데시벨인 고스트를 -150데시벨로 제거하는 에프아이알 필터의 계수를 산출하고자 하는 경우)를 설명하였으나,

및

는 여러 다른 수가 될 수 있음은 당업자에게 있어 자명할 것이다.until now,

Is 3 times (for example,

Is the inverse response of removing a ghost with a gain of -15 decibels to -45 decibels).

The case of 10 times the magnification (i.e., the FIF filter coefficient calculator is trying to calculate the coefficient of the FIF filter which removes the ghost of -15 decibels by -150 decibels),

And

It will be apparent to one skilled in the art that the number can be any number of different numbers.

와 제 2등화부 (420)에서 산출하는

에 대하여 에프아이알 필터를 예를 들어 설명한다.Hereinafter, calculated by the first light unit 410

And calculated by the second equalizer 420

The F eye filter will be described with reference to an example.

Fig. 6 is an example of the Z conversion form of a typical F-Al filter when the order of the filter is N. Since the F-Al filter is a known filter, only those related to the description of the present invention will be briefly mentioned.

In general, an impulse response of a channel with respect to a reference signal having a time interval T of an impulse may be represented by Equation 1 below.

Therefore, Z-conversion of the impulse response of the channel may be represented by Equation 2 below.

를 기준으로 정규화(normalize)하면 수학식 2는 하기의 수학식 3으로 나타낼 수 있다.here

Normalizing based on Equation 2 may be represented by Equation 3 below.

이다.only.

to be.

에서

은 주경 로부분(main-path term)로 볼수 있고,

은 부경로 부분(sub-path term)로 볼 수 있다. Referring to Equation 3, in general, the impulse response of the channel

in

Can be seen as the main-path term,

Can be viewed as a sub-path term.

과 곱해진 영상신호는 그대로 나오며,

과 곱해진 영상신호는 시간 지연이 됨과 동시에, 개별적으로

가 곱해진 형태이다. 일반적으로

는

보다 작은 값이다.For example, when the video signal passes through the channel, the equation is a convolution in the time domain. In the Z transform, the Z transform of the impulse response of the channel and the Z transform of the broadcast signal may be multiplied. Therefore, in Equation 3

And the video signal multiplied by

The video signal multiplied by becomes a time delay and individually

Is multiplied. Generally

Is

Is less.

와 곱해진 영상신호는 반사나 굴절등에 의해 신호가 늦게 도착하며, 그 크기도 작아진 형태로서, 부경로부분(sub-path term)이다.That is, the video signal multiplied by 1 is the main path portion transmitted without any reflection or refraction while the signal is passing through the channel (or even the smallest with the reflection or refraction). (main path term) and the rest

The video signal multiplied by the signal arrives late due to reflection or refraction, and the size of the video signal is also reduced, which is a sub-path term.

을 이용하여 역응답

을 구한다.In general, the impulse response of the channel according to Equation 4 below

Response using

Obtain

를 하기의 수학식 5로 나타낼 수 있다.Therefore, when the Taylor expansion is approximated with reference to equations (3) and (4), the response is reversed.

May be represented by Equation 5 below.

를 에프아이알 필터로 구현할 경우, Z변환형태에서 살펴보면, 미리 지정된 시간지연기(601, 602, 603, 604), 시간지연에 따른 각 계수들을 곱하는 곱셈기(611, 612, 613, 614), 그리고 가산기(621, 622, 623)로 구현할 수 있다.Referring to Figure 6 and Equation 5, the above-described inverse response

When implemented as a F-I filter, when looking at the Z transform form, a predetermined time delay (601, 602, 603, 604), a multiplier (611, 612, 613, 614) to multiply each coefficient according to the time delay, and an adder (621, 622, 623) can be implemented.

(611)이며,

(612, 613, 614)로 둘 수 있다.In this case, the F eye filter

611,

(612, 613, 614).

에서 미리 지정된 시간 지연기(601, 602, 603, 604)별로 계수를 각각 결정하는 것은 이미 공지된 기술이므로, 역응답

를 이용하여 에프아이알 필터를 구현하는 것은 당업자에게 있어 자명할 것이다.Back response

Determining the coefficients for each of the predetermined time delays 601, 602, 603, 604 at s is known in the art, and therefore, the response

It will be apparent to those skilled in the art to implement the FIA filter using.

및 이후에 설명할 제2등화부의 특성방정 식

를 중심으로 설명하고, 이를 이용하여 에프아이알 필터를 구현하는 것에 대한 설명은 생략하도록 하겠다. Therefore, in the following, the reverse response

And characteristic equations of the second equalizing unit to be described later.

It will be described with reference to the description, and the description of the implementation of the F eye filter using it will be omitted.

7 is an example of an F eye filter in two paths of the prior art.

을 구하였다. 즉, 주경로신호(main-path signal)외에 포스트고스트 1개가 존재하는 것으로 가정하였고, 채널의 임펄스 반응

은 하기의 수학식 6으로 나타낼 수 있다.In the prior art, impulse response of a channel is assumed with two paths.

Was obtained. In other words, it is assumed that one post-ghost exists in addition to the main-path signal and impulse response of the channel.

Can be represented by Equation 6 below.

Since the degree of time delay is not constant, the order of z is set to an arbitrary integer a.

를 산출하면 하기의 수학식 7이 된다.Inverse response in equation (6)

To calculate the following equation (7).

의 역수를 테일러 확장(Taylor expansion)하고 근사화하여 역응답

을 산출하였다. In other words,

Inverse response by Taylor expansion and approximation

Was calculated.

을 산출하는 방법은 공지되었으므로, 여기서는 테일러 확장하고 근사화하여

를 산출한 경우를 예로 들어 설명하겠다.Back response

Since the method for calculating is known, here Taylor extends and approximates

It will be described by taking the case where is calculated as an example.

(710)은

이고,

(720)은

일 수 있다.Referring to FIG. 7, the F eye filter includes one time delay unit 730,

710 is

ego,

720 is

Can be.

을 이용하여 구현한 에프아이알 필터를 통과하게 되면 하기의 수학식 8로 나타낼 수 있다.In this case, the video signal passes through the 2-path channel, and the response is reversed.

Passing through the F-IAL filter implemented using can be expressed by Equation 8 below.

을 제외하고, 부경로부분(sub-path term)인

의 차수가 2차(second order)이므로 고스트를 2배율로 제거하였다고 볼 수 있다. According to Equation 8, the main path term

Except for the sub-path term

Since the order of the second order (second order) can be seen that the ghost was removed by 2 times.

가 차수가 2차(second order)가 되면, 데시벨을 계산할 때 상용로그를 취하면서

은

이 되면서 이득(gain)의 비(ratio)가 2배가 되기 때문에 2배율이 된다. Because each path is considered independent, the sub-path term

When is the second order, the common log is taken when calculating decibels.

silver

In this case, the ratio of gain is doubled, so the ratio is doubled.

로 등화(equalize)한 경우 -20데시벨이 될 수 있다. 따라서 2배율로 고스트를 제거하였다고 볼 수 있다.For example, if the sub-path term was -10 decibels, the reverse response would eliminate the ghosting at twice the rate.

Equalized to -20 decibels. Therefore, it can be seen that the ghost was removed by 2 times.

은

이 되면서 이득(gain)의 비(ratio)가 3배가 되어, 3배율이 된다. 예를 들어 -10데시벨인 고스트가 3배율로 제거가 이뤄지면 -30데시벨로 등화(equalize)된다.Thus, assuming each path is independent, for example, if the coefficients are in third order,

silver

As a result, the ratio of the gain is tripled, which is tripled. For example, if a ghost of -10 decibels is removed at a 3x rate, it is equalized to -30 decibels.

As described above, in the conventional F eye filter, an image signal is implemented on the assumption of one main path term and one post ghost. However, as shown in FIG. 1, there is a problem in that there may be a pre-ghost and it may not reflect the reality that there may be a plurality of post-ghosts. That is, there is a problem in that it does not reflect multi-path terms.

FIG. 8 shows an example of an F Eye filter when the conventional technique is applied to a 3-path channel.

In the case of a 3-path channel, there are two sub-path terms in addition to the main path term. For example, two postghosts.

In the case of a 3-path channel, the impulse response of the channel may be represented by Equation 9 below.

은 주경로부분(main path term)이고

은 부경로부분(sub path term)이다.

및

는 일반적으로 1 보다 작은 수이며,

의 차수는 임의의 정수이다.here

Is the main path term

Is the sub path term.

And

Is generally a number less than 1,

The order of is an arbitrary integer.

의 역수를 테일러 확장으로 역응답

를 구하면 하기의 수학식 10과 같다.Using Equation 9

Inverse response to Taylor expansion

Is obtained as shown in Equation 10 below.

는 고스트를 3배율로 제거하고자 하였다. 또한, Where back response

Wanted to eliminate the ghost at three times. Also,

라 하면, 역응답

를 이용하여 도 8의 에프아이알 필터을 구현할 수 있음은 당업자에게 있어 자명할 것이다. 따라서, 역응답

에서 도 8의 에프아이알 필터의 시간지연기별 계수를 결정하는 방법 등에 대한 설명은 당업자에게 있어 자명하므로 여기서는 설명을 생략한다. 이하에서는 특성방정식을 중심으로 설명하도록 하겠다. 도 8에 예시된 에프아이알 필터는

인 경우의 에프아이알 필터이며,

및

의 상대적인 크기의 변동에 따른 다른 형태의 에프아이알 필터로 구현될 수 있음은 당업자에게 있어 자명할 것이다.

If you say

It will be apparent to those skilled in the art that the FIA filter of FIG. 8 may be implemented using. Thus, back response

In FIG. 8, a description of a method for determining a coefficient for each time delay unit of the FIAL filter of FIG. 8 will be apparent to those skilled in the art, and thus description thereof will be omitted. Hereinafter, the description will focus on the characteristic equation. The FC filter illustrated in FIG. 8 is

F eye filter when

And

It will be apparent to those skilled in the art that the present invention may be implemented with other types of F-IAL filters according to the variation in the relative size of.

을 이용하여 구현한 에프아이알 필터를 통과할 경우 하기의 수학식 11로 나타낼수 있다.The video signal passes through a 3-path channel and is calculated with reference to Equation 10

When passing through the F-IAL filter implemented by using can be represented by the following equation (11).

을 제외하고, [등화된 부분(equalized terms)]인

에서는 계수가 3차(third order)이므로 3배율로 고스트를 제거할 수 있다. 예를 들어 -10 데시벨인 고스트를 -30 데시벨로 제거할 수 있다.Referring to Equation 11, the main path term

Except for [equalized terms]

In, since the coefficient is third order, the ghost can be removed by 3 times. For example, a ghost with -10 decibels can be removed with -30 decibels.

에서 계수가 2차(second order)이므로 2배율로 고스트를 제거할 수 있으나, 3배율로 제거할 수 없다는 문제점이 발생한다. 예를 들어 -10데시벨인 고스트를 -20데시벨로 제거할 수 있으나, -30데시벨로 제거할 수 없는 경우이다.However, [unwanted terms]

Since the coefficient is a second order (second order) in the ghost can be removed by 2 times, a problem occurs that can not be removed by 3 times. For example, a ghost that is -10 decibels can be removed by -20 decibels, but it can't be removed by -30 decibels.

와 같은 원하지않는 부분(unwanted term)이 생겨서 고스트를 3배율로 제거할 수 없다는 문제점이 발생한다.In other words, when the conventional technique is applied to a channel with more than three paths,

There is an unwanted term, such as the problem that the ghost can not be removed by 3 times.

According to a preferred embodiment of the present invention, in the case of the above-described embodiment it can be removed at three times.

FIG. 9 is an example of an F-eye filter of the second equalizing unit 420 that removes the ghost of a 3-path channel at a three-fold rate according to a preferred embodiment of the present invention.

을 이용하여 역응답

를 산출한다.According to a preferred embodiment of the present invention, the first equalizer 410 has an impulse response of the channel.

Response using

Calculate

는

의 역수를 테일러 확장해서 근사화하여 구할 수 있고, 또한 다른 공지된 방법으로 구할 수 있음은 당업자에게 있어 자명하다 할 것이다.here

Is

It will be apparent to those skilled in the art that the reciprocal of can be obtained by Taylor expansion and approximation, and can also be obtained by other known methods.

과 동일한 경우를 예를 들어서 설명하도록 한다.In the following, the inverse response described in FIG. 8 in order to facilitate a clear understanding of the invention.

The same case as in the following description will be described.

로 인하여 3배율로 고스트를 제거할 수 없음은 도 8에서 예를 들어 설명한 바와 같으므로, 여기서는 설명을 생략한다.When the video signal passes through the channel and the F-Al filter, the performance is [unwanted terms] as described above with reference to FIG.

Due to the fact that the ghost cannot be removed at a 3x magnification, it is the same as described above with reference to FIG. 8, and thus description thereof will be omitted.

에 [원하지 않는 부분(unwanted terms)]인

을 부호를 달리하고 더하여

를 산출한다.According to a preferred embodiment of the present invention, the second equalizer 420 is the inverse response of the first equalizer 410 by the following equation (12)

On [unwanted terms]

Differently and add

Calculate

를 이용하여 구현한 필터를 통과한 경우를 하기의 수학식 13으로 나타낼 수 있다. Subsequently, the video signal passes through a 3-path channel and is calculated by the second equalizer 420.

The case of passing through the filter implemented by using Equation 13 may be represented.

을 제외하고, 계수가 모두 3차(third order)이므로, 고스트를 3배율로 제거할 수 있는 것을 알 수 있다.Referring to Equation 13, the main path term

Except, since the coefficients are all in the third order, it can be seen that the ghost can be removed by 3 times.

로 필터의 계수를 결정할 수 있고, 이에 상응하여 도 9의 에프아이알 필터로 구현하는 방법은 이미 공지되어 있으므로, 당업자에게 있어 자명할 것이다.here,

Since the coefficients of the raw filter can be determined and correspondingly implemented with the FIA filter of FIG. 9, it will be apparent to those skilled in the art.

Here, since the technology for the FAl filter is known, description of the structure of the Fal filter and the implementation of the Fal filter is omitted, and the parts related to the present invention will be described based on the characteristic equation.

에 [원하지않는 부분(unwanted terms)]인

을 부호를 달리하여 더해서 제2등화부(420)의

를 산출한다. Unlike the prior art F eye filter, according to a preferred embodiment of the present invention, the second light unit 420 is the first light unit 410 of the

In [unwanted terms]

Is added by changing the sign of the second equalizer 420

Calculate

Referring to FIG. 9, in accordance with a preferred embodiment of the present invention, a portion 900 indicated by a dotted line may be added to the F eye filter. The added portion 900 can then cancel [unwanted terms] during calculation, eliminating ghosting at three magnifications in the three-path channel.

This point will be described in detail with reference to FIGS. 8 and 9.

FIG. 10 is a diagram illustrating a mathematical expression when the conventional technique is applied to a 3-path channel. That is, the contents described with reference to FIG. 8 are again illustrated by equations. Here, a portion overlapping with the portion described with reference to FIG. 8 will be omitted, and the problem in the related art will be described once again.

(1000)은 3경로 채널의 임펄스 응답이며, 주경로 부분(main path term)인

(1001)과 [부경로부분(sub-path terms)](1002)로 나눠 볼 수 있다.Impulse Response of Channel

Reference numeral 1000 denotes an impulse response of a three path channel, which is a main path term.

(1001) and [sub-path terms] (1002).

Here, the [sub-path terms] 1002 may be, for example, two postghosts.

(1010)은 채널의 임펄스 응답

(1000)의 역수를 테일러 확장으로 근사화하여 산출하였고, 고스트를 3배율로 제거하도록 산출하였다. 역응답

(1010)은

(1011), [부경로부분(sub-path terms)](1014) 및 [제곱이된 부경로부분(squared sub-path terms)](1015)을 포함한다.Back response

1010 impulse response of the channel

The inverse of (1000) was approximated by Taylor expansion and calculated to remove the ghost at three times. Back response

1010 is

(1011), [sub-path terms] (1014) and [squared sub-path terms] (1015).

(1000)과 역응답

(1010)의 곱으로 나타낼 수 있고,

(1030), [등화된 부분(equalized terms)](1033) 및 [원하지않는 부분(unwanted terms)](1034)을 포함한다.The image signal is recovered through the three-path channel and the F-Al filter, and the signal is impulse response.

1000 and back response

As a product of 1010,

(1030), [equalized terms] (1033) and [unwanted terms] (1034).

Where [equalized terms] (1033) is the part that can eliminate ghosts by 3 times because the coefficient is third order, and [unwanted terms] (1034) is the ghost because the coefficient is second order Is a part that cannot be removed at a rate of 3 times overlaps with that described with reference to FIG. 8, and thus description thereof will be omitted.

Therefore, as described above with reference to FIG. 8, when the prior art is applied to a three-path channel, the [unwanted terms] 1034 cannot remove the ghost at a triple rate because the coefficient is a second order. There is a problem.

FIG. 11 is a diagram illustrating an equation in the case of removing the ghost of a three-path channel at a triple magnification according to a preferred embodiment of the present invention.

Parts overlapping with those already described with reference to FIG. 9 will be omitted, and will be described based on characteristic equations in order to clarify the gist of the present invention. In addition, a method of determining the coefficients of the FIAL filter using the characteristic equation is also known in the art, and thus description thereof is omitted here.

(1100)은

(1101)과 [부경로부분(sub-path terms)](1102)를 포함한다. 이는 도 10에서 설명한 임펄스 응답과 동일하다. Referring to Figure 11, the impulse response of the three-path channel

1100

(1101) and [sub-path terms] (1102). This is the same as the impulse response described in FIG.

를 이용하여 역응답

(1111)을 산출하는 것도 도 10에서 설명한 부분과 동일하다.In addition, the impulse response of the channel in the first equalizer 410

Response using

Calculating 1111 is the same as that described in FIG.

(1111)에 [원하지 않는 부분(unwanted terms)](1112)를 부호를 달리하여 더하여 특성방정식

(1110)를 산출할 수 있다.According to an embodiment, the second light unit 420 responds inversely to the first light unit 410.

Characteristic equation by adding [unwanted terms] (1112) to (1111) with different signs.

1110 can be calculated.

(1110)을 구현한 에프아이알 필터를 통과한 경우는

(1100)과

(1110)의 곱으로 표현할 수 있고, 수학적인 계산과정중에 [원하지않는 부분(unwanted terms)](1112)은 상쇄되어, 최종적으로

(1120), [등화된 부분(equalized terms)] 및 [(부경로부분(sub-path terms))x(원하지않는 부분(unwanted terms))](1124)으로 나타낼 수 있다.Characteristic equation of 3-path channel and second equalizer of video signal

If you pass the FIA filter that implements (1110)

(1100) and

(1110), [unwanted terms] (1112) canceled during the mathematical calculation

(1120), [equalized terms] and [(sub-path terms) x (unwanted terms)] (1124).

(1120)은 영상신호가 곱해져 그 자신이 나오므로 주경로신호(main path signal)로 볼 수 있다. here

Since the image signal is multiplied by itself (1120), it can be viewed as a main path signal.

로서, 계수가 3차(third order)이므로 고스트를 3배율로 제거할 수 있다.And [equalized terms] 1121 as described in FIG.

As the coefficient is third order, the ghost can be removed at a triple rate.

로서 계수가 1차(first order)이고, [원하지 않는 부분(unwanted terms)](1112)는

로서 계수가 2차(second order)이므로, 이들의 곱인 [(부경로부분(sub-path terms))x(원하지 않는 부분(unwanted terms))](1124)의 계수는 3차(third order)이므로 또한 고스트를 3배율로 제거할 수 있다.In addition, [sub-path terms] (1102)

Where coefficients are first order and [unwanted terms] 1112

Since the coefficient is second order, the coefficient of [(sub-path terms) x (unwanted terms)] (1124), which is the product of these, is the third order. The ghost can also be removed at a triple rate.

을 이용하여 구현한 에프아이알 필터는 3경로 채널(3-path channel)의 고스트를 3배율로 제거할 수 있다.Thus, in the second equalizer

The FIA filter implemented by using can remove the ghost of a three-path channel (3-path channel) at a three-fold rate.

로 구현한 에프아이알 필터에 대해서 살펴 보았다.So far, in the case of three-path channels

We have looked at the F eye filter implemented with.

경로(m-path) 채널에서 고스트를

배율로 제거하는 에프아이알 필터의 계수를 결정하는

에 대해서 살펴보기로 하겠다. Hereinafter, any multipath channel

Ghost on the m-path channel

To determine the coefficients of the F eye filter

Let's take a look at.

경로 채널(m-path channel)의 임펄스 응답

는 하기의 수학식 14로 나타낼 수 있다.

Impulse response of the path channel (m-path channel)

Can be represented by Equation 14 below.

의 계수인

는 임의의 수이며, 일반적으로 1보다 작은 수이다. 또한

의 차수인

는 임의의 정수이다.here,

Factor of

Is any number and is generally less than one. Also

Order of

Is any integer.

In addition, the normalization of sub-path terms as the main path part is omitted because it overlaps with that described in Equation (3).

경로 채널의 임펄스 응답

의 역수를 테일러 확장으로 근사화하여 하기의 수학식 15로서 역응답

를 산출한다.The first light unit 410 is

Impulse Response of Path Channel

Inverse response as Equation 15 below by approximating the inverse of

Calculate

는 고스트를 2배율로 제거하도록 산출하였으나, 예를 들어 5배율로 고스트를 제거하도록 산출할 수 있음은 당업자에게 자명할 것이다. here

Although it is calculated to remove the ghost at 2 times, it will be apparent to those skilled in the art that, for example, it can be calculated to remove the ghost at 5 times.

를 산출하는 방법은 이미 공지가 되었으므로, 여기서

을 이용하여 공지된 다른 방법으로 구할 수 있음은 당업자에게 있어 자명할 것이다. 다만, 여기서는 발명의 요지를 명확히 하기 위하여 대표적인 방법인

의 역수를 테일러 확장하고 근사화하여 고스트를 2배율로 제거하는

를 산출하는 방법으로 설명하도록 하겠다.Also, back response

Since the method of calculating is already known, here

It will be apparent to those skilled in the art that the present invention can be obtained by using other known methods. However, here is a representative method to clarify the gist of the invention

Taylor extends and approximates the reciprocal of, eliminating ghosts by 2

It will be described as a way to calculate.

를

로 간단히 표시할 경우 하기의 수학식 16으로 정리할 수 있다.With reference to Equations 14 and 15,

To

In the case of simple display, the following equation (16) can be arranged.

경로 채널(m-path channel)의 임펄스 응답인

의

은 주경로부분(main path term)이고,

를 간단히 표시한

는 부경로부분(sub path terms)임을 알 수 있다. Referring to Equation 16,

The impulse response of the m-path channel

of

Is the main path term,

Simply

It can be seen that the sub path terms (sub path terms).

과 곱해진 영상신호는 그대로 나오며,

와 곱해진 영상신호는 시간 지연이 됨과 동시에, 개별적으로

가 곱해진 형태이다. (일반적으로

는

보다 작은 값이다.)For example, when the video signal passes through the channel, the equation is a convolution in the time domain. In the Z transform, the Z transform of the impulse response of the channel and the Z transform of the broadcast signal may be multiplied. Therefore, in Equation 16

And the video signal multiplied by

The video signal multiplied by is time delayed and individually

Is multiplied. (Generally

Is

Is less than.)

와 곱해진 영상신호는 반사나 굴절등에 의해 신호가 늦게 도착하며, 그 크기도 작아진 형태로서, 부경로부분(sub-path term)이다. 이는 도6에서 설명한 바 있다.That is, the video signal multiplied by 1 is the main path portion transmitted without any reflection or refraction while the signal is passing through the channel (or even the smallest with the reflection or refraction). (main path term) and the rest

The video signal multiplied by the signal arrives late due to reflection or refraction, and the size of the video signal is also reduced, which is a sub-path term. This has been described with reference to FIG. 6.

과 부경로부분(sub-path terms)인

로 분리하고, 부경로부분(sub-path terms)인

의 부호를 달리하여 주경로 부분(main path terms)인

에 더하면 역응답

가 되는 것을 알 수 있다.Here, referring to Equation 16, the impulse response of the channel is the main path term.

And sub-path terms,

And sub-path terms

By changing the sign of the main path terms

In addition, back response

It can be seen that.

경로 채널(m-path channel)의 임펄스 응답인

를 주경로부분(main path term)과 부경로부분(sub-path terms)로 분리하고, 부경로부분(sub-path terms)의 부호를 달리하여 다시 주경로부분(main path term)에 더함으로써 역응답

를 구할 수 있다. 이 점에 대해서는 도 12 및 도 13에서 다시 한번 설명하겠다.Thus, the first equalizer 410 is the channel of the

The impulse response of the m-path channel

Is separated into the main path term and the sub-path terms, and the symbols of the sub-path terms are added differently to the main path term. answer

Can be obtained. This point will be described again in FIGS. 12 and 13.

으로 구현한 에프아이알 필터는 고스트를 2배율로 제거하는 것을 알 수 있다.In addition, referring to Equation 15 and Equation 16, the inverse response calculated by the first equalizer 410 may be used.

It can be seen that the F-eye filter implemented by the ghost to remove the doubling.

경로 채널(m-path channel) 및 제1등화부(410)의

로 구현한 에프아이알 필터를 통과한 경우에는 하기의 수학식 17로 나타낼 수 있다.For example, if the video signal

Path channel (m-path channel) of the first equalizer 410

In the case of passing through the F-IAL filter implemented as can be represented by the following equation (17).

는

를 간단히 표시한 것으로 주경로부분(main path term)인

을 제외하고,

는 모든 계수가 2차(second order)이므로, 고스트를 2배율로 제거하는 것을 알 수 있다. Where sub-path terms

Is

Is a simplified representation of the main path term

Except

Since all coefficients are in second order, we can see that the ghost is removed by 2 times.

를 산출한다. (이하에서는 예를 들어, 3배율로 고스트를 제거하는 경우

로 칭하고,

배율로 고스트를 제거하는 경우

로 칭하기로 한다.)According to an embodiment, the second equalizer 420 removes the ghost at a triple ratio by Equation 18 below.

Calculate (Hereinafter, when ghost is removed by 3 times, for example,

Called,

When removing ghosts by magnification

It will be referred to as.)

Therefore, referring to Equations 16 and 18, the following Equation 19 is obtained.

경로채널(m-path channel) 및

로 구현한 에프아이알 필터를 통과하는 경우 수학식 16과 수학식 19를 참조하면, 하기의 수학식 20으로 나타낼 수 있다.Video signal

M-path channel and

In the case of passing through the FIA filter implemented with reference to Equation 16 and Equation 19, it can be represented by Equation 20 below.

는

를 간단히 표시한 것으로, 주경로부분(main path term)인

을 제외하고,

의 계수는 모두 3차(third order)이므로, 고스트를 3배율로 제거할 수 있음을 알 수 있다.Referring to Equation 20 here

Is

Is a simplified representation of the main path term

Except

Since all of the coefficients of the third (third order), it can be seen that the ghost can be removed by three times.

경로채널(m-path channel)과

로 구현한 에프아이알 필터를 통과하는 경우, 고스트를 3배율로 제거할 수있다.Thus, according to a preferred embodiment of the present invention,

M-path channel

In case of passing through the F-Al filter, the ghost can be removed by 3 times.

경로채널(m-path channel)의 고스트를 4배율이상으로 제거하려면 제2등화부(420)는 하기의 수학식 21에 의하여

을 산출한다. According to a preferred embodiment of the present invention

In order to remove the ghost of the path channel (m-path channel) more than 4 times, the second equalizer 420

To calculate.

이 고스트를 4배율 이상 제거할 수 있음은 수학적 귀납법으로 증명하도록 하겠다. By equation 21

We can prove that the ghost can be eliminated more than four times by mathematical induction.

데시벨로 제거할 수 있다고 가정하고, 하기의 수학식 21에 의해 산출된

이 고스트를

데시벨로 제거할 수 있음을 보이도록 하겠다.That is, firstly, it shows that the ghost can be removed by 4 decibels, and secondly, the ghost

Assuming that it can be removed in decibels,

This ghost

I will show that it can be removed in decibels.

을 이용하여 구현한 에프아이알 필터로 고스트를 4배율로 제거할 수 있음을 설명하겠다.First, of Equation 21

We will explain that the FT can be removed by 4 times with the FIA filter implemented using.

을 산출할 수 있다. Referring to Equations 16, 19, and 21, the second equalizer 420 may be represented by Equation 22 below.

Can be calculated.

경로채널(m-path channel)과

를 이용하여 구현한 에프아이알 필터를 통과하는 경우 하기의 수학식 23으로 나타낼 수 있다.Therefore, the video signal

M-path channel

In the case of passing through the F-IAL filter implemented using can be represented by the following equation (23).

는

를 간단히 표시한 것으로서,

는 계수가 4차(forth order)이다. 따라서, 주경로부분(main path term)인

을 제외하고, 계수가 모두 4차(forth order)이므로,

을 이용하여 구현한 에프아이알 필터는

경로채널(m-path channel)을 통과한 영상신호에서 고스트를 4배율로 제거할 수 있다. Referring to Equation 23,

Is

Is simply a

Is a fourth order coefficient. Therefore, the main path term

Except that since the coefficients are all fourth order,

The F eye filter implemented using

The ghost can be removed at a 4x magnification from the video signal passing through the m-path channel.

에 의해 고스트를

데시벨로 제거할 수 있다고 가정하고, 수학식 21에 의해 산출된

가 고스트를

배율로 제거할 수 있음을 증명하도록 하겠다.The second,

Ghost by

Assume that it can be removed in decibels,

Go Ghost

I will prove that it can be removed by magnification.

는 하기의 수학식 24로 표현할 수 있다.Referring to Equation 19 and Equation 21,

Can be expressed by Equation 24 below.

경로 채널(m-path channel) 및 수학식 24에 의해 산출된

로 구현한 에프아이알 필터를 통과한 경우 고스트를

배율로 제거할 수 있다고 가정한다.That is, the video signal

Calculated by the m-path channel and equation (24)

If you pass the FIA filter implemented with

Assume that it can be removed by magnification.

데시벨로 제거하는

를 하기 수학식 25에 의해 산출할 수 있다.Then, the ghost is described with reference to Equation 21 and Equation 24.

Removed with decibels

It can be calculated by the following equation (25).

경로 채널(m-path channel) 및 수학식 25의

로 구현한 에프아이알 필터를 통과할 경우는 하기의 수학식 26으로 나타낼 수 있다. Video signal

Path channel (m-path channel) and

When passing through the F eye filter implemented as can be represented by the following equation (26).

는

를 간단히 표시한 것으로서,

는 계수가

차(

th order)이다. 따라서, 주경로부분(main path term)인

을 제외하고, 계수가 모두

차(

th order)이므로,

을 이용하여 구현한 에프아이알 필터는

경로채널(m-path channel)을 통과한 영상신호에서 고스트를

배율로 제거할 수 있다. Referring to Equation 26,

Is

Is simply a

Is the coefficient

car(

th order). Therefore, the main path term

Except that the coefficients are all

car(

th order),

The F eye filter implemented using

Ghost from the video signal passed through the m-path channel

Can be removed by magnification.

경로채널(m-path channel)에 있어서, 수학식 18에 의하여 3배율로 고스트를 제거하는

및 수학식 21에 의하여 4배율 이상의 임의의

배율로 고스트를 제거하는 필터의 계수를 결정하는

을 산출할 수 있다.As mentioned above, according to a preferred embodiment of the present invention,

In the m-path channel, the ghost is removed at a triple ratio according to Equation (18).

And an arbitrary amount of 4 times or more according to Equation 21

To determine the coefficients of the filter to remove ghosts

Can be calculated.

가

경로채널(m-path channel)에 있어서 고스트를

배율로 제거하는 특성방정식임을 설명하였다. 그리고, 특성방정식

에서 계수를 결정하여 에프아이알 필터를 구현하는 것은 공지된 기술이므로,

을 이용하여 에프아이알 필터를 구현하는 방법에 대해서는 설명을 생략하겠다. until now,

end

Ghost in the m-path channel

It is explained that it is a characteristic equation to remove by the magnification. And the characteristic equation

Implementing FIA filter by determining the coefficient in the

The description of how to implement FIA filter by using the description will be omitted.

을 주경로부분(main path term)과 부경로부분(sub-path terms)로 분리하여 고스트를

배율로 제거하는 를 산출하는 방법에 대해서 살펴보도록 하겠다.Hereinafter, the impulse response of the channel

Is separated into main path terms and sub-path terms

To remove Let's look at how to calculate.

을 산출하는 일례이다. 12 is in accordance with a preferred embodiment of the present invention

It is an example of calculating.

경로 채널의 임펄스 응답

을 주경로부분(main-path term)인

과 부경로부분(sub-path terms)인

로 분리를 한다(1210). 이 부분에 대해서는 수학식 16을 참조하면서 설명하였으므로 생략한다. (여기서

는

을 간단히 표현한 것이다.)12,

Impulse Response of Path Channel

Is the main-path term

And sub-path terms,

It is separated into (1210). This part has been described with reference to Equation 16 and thus will be omitted. (here

Is

Is a simplified representation.)

이고, 부경로부분(sub-path terms)(1212)는

이다.Therefore, the main path portion 1211

Sub-path terms (1212)

to be.

곱셈기(1220)에 의해 부경로부분(sub-path terms)(1212)인

는

(1221)이 된다.

By the multiplier 1220, the sub-path terms (1212)

Is

(1221).

(1221)는

(1221)로 나타낼 수 있다.Referring to Equation 16,

(1221) is

It may be represented by 1221.

과

(1221)이 더해져서

(1231)가 산출되는데, 수학식 14을 참조하면,

(1231)이 산출된다.In the adder 1230, the main path portion 1211

and

(1221) is added

(1231) is calculated. Referring to Equation 14,

(1231) is calculated.

(1221)와

(1231)이 곱해져서

(1241)이 산출된다.In the multiplier (1240)

(1221) and

(1231) multiplied by

(1241) is calculated.

과

(1241)이 더해져서

(1251)이 산출되는데, 이는 수학식 18을 참조하면,

(1251)이 된다.In the adder 1250, the main path portion 1211

and

(1241) added

(1251) is calculated, which can be found in Equation 18,

(1251).

(1251)와

(1221)이 곱해져서

(1261)가 산출된다.In the multiplier (1260)

(1251) and

(1221) is multiplied

(1261) is calculated.

(1261)가 더해져서

이 산출되는데, 수학식 21, 22를 참조하면, 이는

(1271)가 된다.In the adder 1270, the main path portion 1211 is 1 and

(1261) added

Is calculated, referring to Equations 21 and 22,

(1271).

경로 채널(m-path channel)의 임펄스 응답

를 주경로부분(1211)과 부경로부분(1212)로 분리하여, 블록(1200-1)에서 역응답

를 산출할 수있다.Thus, referring to FIG. 12,

Impulse response of the path channel (m-path channel)

Is divided into the main path portion 1211 and the sub path portion 1212, and the response is returned in block 1200-1.

Can be calculated.

가 산출되며, 블록(1200-3)에서

가 산출되는 것을 알 수 있다.Also, at block 1200-2,

Is computed, and at block 1200-3

It can be seen that is calculated.

According to a preferred embodiment of the present invention, in FIG. 12, it is possible to increase the precision of the FAl filter by simply repeating the block 1200-3 without changing another adder or multiplier. This will be described with reference to FIG. 13.

FIG. 13 illustrates an example of repeating block 1200-3 of FIG. 12 once again.

(1271)가 산출되는 부분까지는 도12에서 설명한 부분과 중복되므로 생략하겠다.

Up to the portion at which 1271 is calculated is omitted since it overlaps with the portion described with reference to FIG.

(1271)와

(1221)이 곱해져서

(1281)가 산출된다.In the multiplier 1280

(1271) and

(1221) is multiplied

(1281) is calculated.

(1281)가 더해져서

이 산출되는데, 수학식 21를 참조하면, 이는

(1291)가 된다.In the adder 1290, the main path portion 1211 is 1 and

(1281) is added

Is calculated, referring to Equation 21,

(1291).

를 산출할 수 있음을 알 수 있다. That is, referring to FIG. 13, by repeating the same block 1200-4 as the block 1200-3 of FIG. 12,

It can be seen that can be calculated.

As described above, according to the preferred embodiment of the present invention, the precision of the characteristic equation can be increased by repeating the same block (for example, block 1200-3 of FIG. 12). Therefore, it is possible to obtain the characteristic equation of the equalizer by simpler calculation than the prior art, and thus, there is an advantage that the ghost can be removed quickly and the configuration of the second equalizer can be made simpler.

경로 채널의 임펄스 응답

를 주경로부분(main path term)과 부경로부분(sub-path terms)로 분리하여

및

를 산출하는 방법을 살펴 보았다.until now

Impulse Response of Path Channel

Is separated into main path terms and sub-path terms

And

We looked at how to calculate.

Here again, the gist of the present invention will be described with reference to FIGS. 4 and 5.

경로 채널의 임펄스 응답

을 이용하여 역응답

를 산출한다. In operation S510, the first equalizer 410

Impulse Response of Path Channel

Response using

Calculate

의 역수를 테일러 확장해서 근사화하여 역응답

를 산출할 수 있다.E.g,

Inverse response by approximating and expanding Taylor's inverse

Can be calculated.

의 주경로부분(main path term)과 부경로부분(sub-path term)을 분리하여 역응답

를 산출할 수 있다.For example, an impulse response as described with reference to FIG. 12.

Reverse response by separating main and sub-path terms

Can be calculated.

에서 역응답

를 산출하는 것은 공지된 기술 이므로, 다른 방법으로 구할 수 있음은 당업자에게 자명할 것이다.Also, impulse response

Back response

Since it is a known technique to calculate the, it will be apparent to those skilled in the art that it can be obtained by other methods.

을 이용하여

을 산출한다.Subsequently, in step S520, the second equalizer 420 responds back.

Using

To calculate.

를 산출할 수 있다.For example, referring to Equation 21

Can be calculated.

과

배율로 고스트를 제거하는 역응답

를 곱하여

배율로 고스트를 제거하는 과정에서 [원하지않는 부분(unwanted terms)]를 산출하고, 이것을 역응답

에 부호를 달리하여 더해서 고스트를

비율로 제거하는

을 산출할 수 있다.For example, as described with reference to FIG. 9, an impulse response

and

Reverse response to remove ghost at magnification

Multiply by

In the process of eliminating ghosts by magnification, we calculate [unwanted terms] and reverse response

By adding different symbols to the ghost

Removed at a rate

Can be calculated.

을 산출할 수 있다.For example, by continuing to repeat block 1200-3 as described with reference to FIGS. 12 and 13,

Can be calculated.

를 산출하는 과정에서 정밀도 감지부(430)는

의 배율이 미리 지정된 배율과 같은지를 감지하고,

의 배율이 미리 지정된 배율에 도달할 때까지 제 2등화부로 하여금 배율을 높이면서 반복하여

를 산출하도록 한다. (단계 S530)The second light unit 420 repeatedly increases the magnification

In the process of calculating the precision detection unit 430

Detects whether the magnification is equal to the predefined magnification,

The second equalizing unit repeatedly increases the magnification until the magnification of

To calculate. (Step S530)

의 배율이 미리 지정된 배율과 동일해진 경우, 필터 계수 결정부(440)은

에서 에프아이알 필터의 미리 지정된 시간 지연기별 계수를 결정한다(단계 S540).Calculated by the second light unit 420

When the magnification of the same as the predetermined magnification, the filter coefficient determination unit 440

In step S540, a predetermined time delay coefficient of the F-ID filter is determined.

및

을 본 발명의 바람직한 실시예에 의하여 산출하여 고스트를 제거한 경우의 결과에 대해서 살펴보도록 하겠다.In the following, a virtual 4-path channel is set up in a matlab, and accordingly a reverse response

And

It will be described with respect to the result of removing the ghost calculated by the preferred embodiment of the present invention.

14 is an example of a graph illustrating an impulse response of a 4-path channel made in a matlab for experimenting with a preferred embodiment of the present invention.

Referring to FIG. 14, three sub-path terms 1420, 1430, and 1440 exist in addition to the main path term 1410.

The vertical axis of the graph is the gain after normalizing based on the main path term 1410, and the horizontal axis is the number of taps of the sub-path terms. The signal was sampled at 25 MHz, so the tap of the predetermined time delay is 0.04 ms.

14 to 18, since the vertical axis and the horizontal axis are the same, a description of the axis will be omitted below.

The impulse response of the channel was set by the following equation.

The gain of the main path portion 1410 is 1 (0 decibels) by normalizing based on the main path term 1410.

의 차수는 -20 이다. Looking at the sub-path terms, the coefficient of the first sub-path portion 1420 in Equation 27 is 0.1776 and the gain is -15 decibels. Also, because it's at 0.8 ㎲, 20 taps are needed, so

The degree is -20.

의 차수는 -35이다.Similarly, for the second subpath portion 1430, the coefficient in Equation 27 is 0.1 and the gain is -20 decibels. Is located at 1.5 ㎲, so we need 35 taps

The degree of is -35.

의 차수는 -50이다.Similarly, in the case of the third subpath part 1440, the coefficient in Equation 27 is 0.0316, and the gain is -30 decibels, and is located at 2 dB, so 50 taps are required.

The degree of is -50.

및 제2등화부(420)에서 산출한

를 살펴보고, 그에 따른 고스트를 제거할 때의 성능을 살펴보도록 하겠다.Hereinafter, the inverse response calculated by the first equalizer 410 with reference to Equation 27

And calculated by the second light unit 420.

Let's take a look at and see the performance of removing ghosts.

의 특성을 도시한 그래프이다.15 is an inverse response calculated by the first equalizing unit 410 according to the preferred embodiment of the present invention.

It is a graph showing the characteristics of.

는 수학식 16 및 수학식 27을 참조하여 3배율로 고스트를 제거하도록 산출하였고, 이하의 수학식으로 나타낼 수 있다.Back response

Was calculated to remove the ghost at a 3x magnification with reference to Equations 16 and 27, and can be represented by the following equation.

로 고스트를 제거한 결과의 일례를 도시한 그래프이다.FIG. 16 shows the inverse response described in FIG. 15

It is a graph which shows an example of the result which removed the ghost.

을 이용하여 구현한 에프아이알 필터로 고스트를 제거한 경우를 모의 실험한 결과를 예시한 그래프이다. In other words, the video signal passed through the 4-path channel of FIG. 14 is returned in response.

This is a graph illustrating the results of a simulation of the case of removing ghosts by using the F eye filter implemented using.

Referring to FIG. 16, many sub-path terms are equalized except for the main path term but still exist.

At this time, the largest gain among the sub-path terms (1610) was -0.03557 and the decibel was measured as -28.9 decibels.

로 구현한 에프아이알 필터로 고스트를 제거할 경우 대략 -30데시벨 이하로 제거할 수 있다.That is, the inverse response calculated by the first equalizer 410

If you remove the ghost with the F-eye filter implemented as can be removed to about -30 decibels or less.

However, since the gain of the ghost that can be detected by the human eye is approximately -40 decibels, the ghost of approximately -30 decibels illustrated in FIG. 17 is visually detected. Therefore, it is necessary to remove further ghosts.

로 고스트를 제거한 경우를 살펴 보겠다.Hereinafter calculated by the second equalizing unit according to a preferred embodiment of the present invention

Let's look at the case of removing ghosts.

로 구현한 등화기의 임펄스 응답을 도시한 그래프이다.17 is in accordance with a preferred embodiment of the present invention

This is a graph showing the impulse response of the equalizer.

을 산출하는 수학식 27을 참조하여 고스트를 2배율로 제거하는 역응답

을 산출한 후, 수학식 21을 참조하여 고스트를 3배율로 제거하는

을 산출하였다.In this case, first, the impulse response of the 4-path channel (Equation 16) and the inverse response

Inverse response to remove ghost by 2 times with reference to Equation 27

After calculating the, to remove the ghost 3 times with reference to Equation 21

Was calculated.

This process can be represented by Equation 29 below.

를 이용하여 구현한 에프아이알 필터의 임펄스 응답을 도시하면 도 17과 같다. Above

17 shows an impulse response of the F-IAL filter implemented using

로 고스트를 제거한 결과의 일례를 도시한 그래프이다.FIG. 18 is described with reference to FIG. 17.

It is a graph which shows an example of the result which removed the ghost.

를 이용하여 구현한 에프아이알 필터를 통과한 경우의 특성을 나타낸 그래프이다.That is, the video signal is a four-path channel (4-path channel) and the above-described

This is a graph showing the characteristic when passing through the FC filter implemented using.

Referring to FIG. 18, the largest gain 1810 of the sub-path terms is about 0.0095, and the decibel is about -40 decibels.

That is, since the ghost that can be detected by the naked eye is approximately -40 decibels, the ghost illustrated in FIG. 18 cannot be detected by the naked eye, so that a good image quality can be obtained.

을 이용하여 구현한 에프아이알 필터가 고스트를 대략 -30데시벨로 제거하는 것과 비교하면, 제 2등화부(420)에서 산출한

을 이용하여 구현한 에프아이알 필터가 고스트를 같은 3배율로 제거하도록 하였음에도 불구하고 더욱 뛰어난 성능을 가지는 것을 알 수 있다.Inverse response calculated by the first equalizer described in FIG.

Compared to the F-eye filter implemented using the ghost, which removes the ghost at about -30 decibels, the second equalizer 420

Even though the F eye filter implemented by using the ghost is removed to the same 3 times, it can be seen that it has more excellent performance.

을 이용하여 제1등화부(410)에서는 테일러 확장(Taylor Expansion)등을 이용하여 간편하게

을 산출하고, 제2등화부에서는

을 이용하여 고스트를 효율적으로 제거하는 에프아이알 필터의 임펄스 응답

을 산 출한다.That is, according to a preferred embodiment of the present invention, an impulse response of two or more multipath channels

In the first light unit 410, using the Taylor expansion (Taylor Expansion), etc.

In the second equalizer,

Impulse Response of FT Eye Filter Using Efficient Ghost Removal

Calculate

In addition, if it is necessary to remove the ghost at a higher magnification, the magnification for removing the ghost can be increased by repeating the same calculation without any additional additional calculation. Since this overlaps with the portion described with reference to Equation 21, the description is omitted here.

을 산출할 수 있다는 장점이 있다.Thus, the equalizer's impulse response efficiently removes ghosts by simple calculation

There is an advantage that can be calculated.

Preferred embodiments of the present invention described above are disclosed for purposes of illustration, and those skilled in the art will be able to make various modifications, changes, and additions within the spirit and scope of the present invention. Additions should be considered to be within the scope of the following claims.

As described above, the filter coefficient calculation method of the FC filter according to the preferred embodiment of the present invention considers that the conventional technology is multi-path beyond the assumption of only 2-path. Therefore, there is an advantage that the filter coefficient of the F-Al filter can be calculated.

을 이용하여 간단한 계산으로 역응답

및

를 산출함으로써, 충분히 고스트를 제거함과 동시에 에프아이알 필터의 필터계수 연산속도를 향상시킨다는 장점이 있다.In addition, the present invention provides an impulse response of a channel.

Response with simple calculation using

And

By calculating, the ghost is sufficiently removed and the filter coefficient calculation speed of the F-Al filter is improved.

In addition, the present invention can sequentially increase the magnification of removing ghosts by repeating the same process without the need for additional additional calculations, thereby simplifying the device in implementing the filter coefficient calculating device of the FAl filter. There is an advantage.

Claims (16)

In the filter coefficient calculation method of the FIR filter for recovering the original signal from the received signal passing through the multi-path channel, (a) Impulse response of the channel in the first equalizer

Pre-specified ghosts

Reverse response to remove by magnification

Calculating; (b) the reverse response at the second equalizing unit;

Multiply sequentially using

Characteristic equation for removing the ghost by magnification

Calculating; And (c) above

Determining the coefficients of the F eye filter from

A filter coefficient calculation method of an F-IR filter, which is an arbitrary natural number. The method according to claim 1, Step (b) is (b1) Equation

By the ghost

Characteristic equation to remove by magnification

The filter coefficient calculation method of the F eye filter, characterized in that it comprises the step of calculating. The method according to claim 2, Step (b) is (b2) Equation

Pre-specified the ghost by

Characteristic equation to remove by magnification

Filter coefficient calculation method of the F eye filter, characterized in that it further comprises the step of calculating. The method according to claim 1, remind

Above

A filter coefficient calculation method of an F-I filter, characterized in that the inverse of is calculated by using Taylor theorem. The method according to claim 4, remind

The filter coefficient calculation method of the F eye filter, characterized in that for removing the ghost at 2 times. The method according to claim 1, Step (a) is remind

Are separated into main path terms and sub-path terms, In the secondary path section

Multiply by the

Filter coefficient calculation method of the F eye filter, characterized in that for calculating. The method according to claim 1, The reference signal extracted from the received signal and the pre-stored reference signal are used for the

The method of calculating the filter coefficients of the F-IA filter, characterized in that the step of calculating is further performed before the step (a). In the apparatus for calculating the filter coefficient of the F eye filter for recovering the original signal from the received signal passing through the multipath channel, Impulse response of the channel

Pre-designated ghosts

Reverse response to remove by magnification

A first equalizing unit calculating a; The reverse response

Multiply sequentially using

Characteristic equation for removing the ghost by magnification

A second equalizing unit calculating a; And Characteristic equation of the second equalizing unit

A filter coefficient determination unit for determining a coefficient of an F-IF filter from

A filter coefficient calculating device for an F-Al filter, wherein the filter is any natural number. The method according to claim 8, The second light unit Equation

By the ghost

Characteristic equation to remove by magnification

Filter coefficient calculation device of the F eye filter, characterized in that for calculating. The method according to claim 9, The second light unit Equation

Pre-specified the ghost by

Characteristic equation to remove by magnification

Filter coefficient calculation device of the F eye filter, characterized in that for calculating. The method according to claim 8, The first equalizing unit is

Recall the Inverse of Using Taylor Theorem

Filter coefficient calculation device of the F eye filter, characterized in that for calculating. The method according to claim 11, remind

The filter coefficient calculating device of the F eye filter, characterized in that for removing the ghost at 2 times. The method according to claim 8, The first equalizing unit is

Is divided into a main path term and a sub-path term, and the

Multiply by and add to the main path portion to

Filter coefficient calculation device of the F eye filter, characterized in that for calculating. In the recording medium on which a program of instructions that can be executed by the FIAL filter is tangibly implemented to perform the channel equalization method, the recording medium having recorded thereon a program that can be read by the FAL filter, (a) impulse response of the channel

Pre-specified ghosts

Reverse response to remove by magnification

Calculating; (b) the reverse response

Multiply sequentially using

Characteristic equation for removing the ghost by magnification

Calculating; And (c) above

Determining the coefficients of the F eye filter from

A recording medium on which a program is recorded, wherein the program is any natural number. The method according to claim 14, Step (b) is (b1) Equation

By the ghost

Characteristic equation to remove by magnification

Recording medium having a program recorded thereon. The method according to claim 15, Step (b) is (b2) Equation

Pre-specified the ghost by

Characteristic equation to remove by magnification

And recording the program.

Images