KR100651973B1 - Method and Apparatus for Estimating SIR in a System Having Antenna Array - Google Patents

Abstract

The present invention relates to a CDMA communication system, and more particularly, to an SIR estimation method in a base station system having an antenna array. The SIR estimation method according to the present invention includes estimating an adaptive weight that approximates a direction vector of a desired signal among the signals received by the antenna array; Calculating an antenna array output signal by integrating the calculated hermetic value of the adaptive weight and the received signal vector; The interference signal is obtained by subtracting a second inner product value of the estimated adaptation weight and the antenna product output value from the first inner product value of the estimated adaptation weight and the received product vector. Extracting; Estimating the SIR based on the extracted interference signal with respect to the antenna array output signal.

Direction vector, adaptive weights (weight vector), SIR

Description

Signal-to-Noise Ratio Estimation Method Applied to System with Antenna Array and Apparatus for It {Method and Apparatus for Estimating SIR in a System Having Antenna Array}

1 is a diagram illustrating an apparatus for describing SIR estimation according to an embodiment of the present invention.

2 is a diagram illustrating a transport channel of a WCDMA system for explaining an SIR estimation interval according to an embodiment of the present invention.

3 illustrates an apparatus for describing SIR estimation according to another embodiment of the present invention.

* Description of the symbols for the main parts of the drawings *

101: frequency down converter

102: analog to digital converter

103: weight vector calculation unit

104: multiplier

105: adder

106: SIR estimator

107: demodulator

The present invention relates to a CDMA communication system, and more particularly, to an SIR estimation method and a system therefor in a base station system equipped with an antenna array.

In general, the SIR estimation technique of the prior art was designed such that the base station antenna equipment is estimated based on a received signal using a single antenna system or two or more antennas for diversity, not an antenna array. To this end, when a signal is transmitted in a WCDMA system, a signal to be transmitted is transmitted in units of frames, each frame is composed of a plurality of slots, and a plurality of symbols are present in one slot. In particular, when transmitting signals on the reverse link, a plurality of transmission paths exist due to signal attenuation and various surrounding reflectors, and the transmission paths are assumed to have complex gains. In addition, when transmitting a signal on the reverse link, it is assumed that a pilot symbol is transmitted through a separate pilot channel or a pilot symbol is transmitted to a part of a data signal.

Under the foregoing circumstances, the WCDMA base station system detects channel information by receiving all of the pilot symbols transmitted from the terminal at the base station and obtaining the average. Using this detected channel information, the base station finds the instantaneous value S of the signal power transmitted during the specific period, and similarly calculates the average value of the power of the interference signal (including the white SIR) I for a certain period of time. That is, in the prior art, SIR is estimated using S and I obtained as described above, and the process is described in more detail in the following reference.

[references]

 "S. Seo, T. Tomohiro and F. Adachi, SIR-based transmit power control of reverse link for coherent DS-CDMA mobile radio, IEICE transactions on communications, vol.E81-B, no.7, pp. 1508 1516, July, 1998 "

However, the method of obtaining power magnitude of a received signal using pilot symbols commonly received from all terminals is well matched with a technique of controlling the directivity of a signal transmitted from each terminal using an adaptive antenna array. There is a problem. That is, since the directivity of the antenna array with respect to the pilot symbol and the directivity of another channel through which other data are transmitted may be different, from the average value of the pilot symbol, a signal including its received signal power magnitude or noise and interference components The method of estimating the SIR by calculating the power magnitude of P is not accurate.

Accordingly, an object of the present invention is to provide a base station having an antenna array for estimating an accurate SIR using a weight vector approximated to a direction vector of a desired signal. The present invention provides a method for estimating SIR in a system and a system therefor.

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According to an aspect of the present invention, there is provided a method of estimating an adaptive weight corresponding to a direction vector of a desired signal among signals received by an antenna array, a hum operation value of the estimated adaptive weight, and the received signal vector. Calculating an antenna array output signal by dot product, and outputting the antenna array output and the antenna operation value of the estimated adaptive weight from the first inner product of the estimated adaptation weight and the received product vector. Extracting an interference signal by subtracting a second inner product value from the signal, and estimating an SIR by the extracted interference signal relative to the antenna array output signal.
In addition, the present invention includes the steps of calculating a weight vector corresponding to a signal transmitted from a specific transmitter, obtaining an antenna array output signal corresponding to a signal transmitted from the specific transmitter, and the weight vector and the antenna array output signal. Calculating a signal-to-noise ratio corresponding to the specific transmitter.
In addition, the present invention obtains a weight vector calculation unit for calculating a weight vector corresponding to a signal transmitted from a specific transmitter, and an antenna array output signal corresponding to the signal transmitted from the specific transmitter, but using the weight vector And a signal-to-noise ratio calculator for calculating a signal-to-noise ratio corresponding to the specific transmitter by using a signal obtainer for acquiring and the weight vector and the antenna array output signal.
Hereinafter, a configuration and an operation according to an exemplary embodiment of the present invention will be described with reference to the accompanying drawings.

1 is a block diagram for estimating SIR according to the present invention.

Referring to FIG. 1, a plurality of frequency down converters 101 converting an ultra-high frequency signal received through an antenna array into a baseband signal, and a plurality of converting down-converted analog signals into digital signals. A weight vector calculation unit for calculating an adaptive weight (hereinafter referred to as a weight vector) used for forward beamforming from the analog-to-digital converter (A / D converter) 102 and the output signal vector of the analog-to-digital converter (102). 103, a multiplier 104 corresponding to the number of antennas forming an actual beam using the weight vector calculated by the weight vector calculation unit 103, an adder 105 for synthesizing and outputting the actual beam, and the adder. The output signal of 105, that is, the antenna array output signal, the output signal vector of the analog-to-digital converter 102, and the weight vector obtained from the weight vector calculation unit 103. SIR estimator 106 for estimating a signal / interference ratio (SIR) using the data detector.

~

, 이하

라 총칭함)들은 웨이트 벡터 계산부(103)로 인가되어, 적응적으로 조절되는 웨이트 벡터(복소수의 적응 가중치)(

~

, 이하

라 총칭함)들을 산출하는데 이용된다. 또한, 상기 아날로그 디지털 변환기(102)의 출력 신호 벡터들(

)들은 SIR 추정기(106)에 인가된다. 상기 산출된 웨이트 벡터들을 허미션(Hermitian) 연산한 값과, 상기 아날로그 디지털 변환기(102)의 출력 신호 벡터들(

)은 곱셈기(104)에서 각각 곱해진 후, 덧셈기(105)에 의해 합성되어 안테나 어레이의 출력신호로써 SIR 추정기(106)에 인가된다. With this configuration, the signals received by the plurality of antennas are converted into baseband signals by the same number of frequency downconverters 101, and likewise converted into digital signals by the same number of analog-to-digital converters 102. do. In this case, output signal vectors of the analog-to-digital converter 102 (

To

, Below

Are collectively applied to the weight vector calculation unit 103 to be adaptively adjusted.

To

, Below

Collectively). In addition, the output signal vectors of the analog-to-digital converter 102 (

Are applied to the SIR estimator 106. Hermitian operation of the calculated weight vectors and output signal vectors of the analog-to-digital converter 102 (

Are multiplied by the multiplier 104, and then synthesized by the adder 105 and applied to the SIR estimator 106 as an output signal of the antenna array.

The SIR estimating process of the SIR estimator 106 will be described in more detail below.

In general, when an antenna array is used in a mobile communication system, when the number of antennas of the antenna array is N, the number of signal sources including a desired signal source (hereinafter referred to as a source signal) and an interference signal (including a noise signal) is d, The signal received at the m th antenna is represented by Equation 1 below.

는 기준 안테나에서 수신된 k번째 신호를,

는 k번째 신호의 전력을,

는 k번째 신호의 입사각을,

는 m 번째 안테나에서의 잡음 성분을, d는 안테나 어레이로 들어오는 신호의 개수를 나타낸다. 일반적으로, 안테나 어레이로 수신한 신호는

로 쓸 수 있는데, 이 때

는 N×1 벡터로 다음 수학식 2와 같이 쓸 수 있다.here,

Is the k-th signal received from the reference antenna,

Is the power of the k th signal,

Is the angle of incidence of the kth signal,

Is the noise component at the m th antenna, and d is the number of signals coming into the antenna array. In general, the signal received by the antenna array

Can be used as

Can be written as Equation 2 as N × 1 vector.

(k=1,2,...d)는 안테나 어레이의 방향 벡터로서 다음 수학식 3과 같이 나타낸다.That is, A is an N × d matrix, and the column vectors constituting this A

(k = 1,2, ... d) is a direction vector of the antenna array, as shown in Equation 3 below.

이라 하고, 원신호의 웨이트 벡터를

이라고 할 때, 적응 안테나 어레이를 사용하는 목적은

이 원하는 사용자의 벡터에 근접하도록 웨이트 벡터를 구하는 것이다. 이와 같은 원리를 다음 수학식 4에 나타내었다. 이때,

을 구하기 위해, 송신단(단말기)과, 수신단(기지국) 사이의 채널 환경으로 인한 페이딩 현상을 극복하기 위한 별도의 채널 추정기(channel estimator)를 달아서,

에 반영되도록 할 수 있다. Meanwhile, the original signal

And the weight vector of the original signal

The purpose of using an adaptive antenna array

The weight vector is found to be close to the desired user's vector. This principle is shown in Equation 4 below. At this time,

In order to obtain, by attaching a separate channel estimator to overcome the fading phenomenon caused by the channel environment between the transmitter (terminal) and the receiver (base station),

Can be reflected in the

이 원하는 사용자의 방향 벡터에 근접하도록 웨이트 벡터를 구하게 되면, 어레이 각 안테나의 곱셈기(104)에서 웨이트 벡터의 각 안테나에 해당하는 부분을 곱하여 어레이 출력 신호(y)를 구하게 되는데, 이때 어레이 출력 신호는 다음 수학식 5에 의해서 산출된다.remind

When the weight vector is found to be close to the desired direction vector of the user, the multiplier 104 of each antenna of the array is multiplied by the portion corresponding to each antenna of the weight vector to obtain the array output signal y. It is calculated by the following equation (5).

이 원하는 사용자의 방향 벡터에 근접하도록 웨이트 벡터를 구했다면 원하는 사용자의 신호로 근접하게 되는데, 이것을 다음 수학식 6에 나타내었다.In Equation 5 y ₁ is

If the weight vector is found to be close to the desired user's direction vector, the weight vector is close to the desired user's signal, which is represented by Equation 6 below.

Then, the desired signal can be estimated at the output terminal of the adaptive antenna array. Using this property, the SIR can be obtained from the SIR estimator 106 as follows.

~

, 이하

라 총칭함)에서 수신된 신호는 원하는 신호뿐만 아니라 다른 간섭 신호가 함께 공존한다. 따라서, 어레이 출력단(y)에서 추정된 신호들 중 원하는 신호(y₁)의 방향 벡터(

)에 근접하는 웨이트 벡터(

)의 허미션 연산값과, 어레이 출력단에서 구한 원하는 신호(y₁)의 제1 내적값을 먼저 구한다. 그리고, 어레이의 입력단의 신호 벡터(

)와 원하는 신호(y₁)의 웨이트 벡터(

)의 허미션 연산값과의 제2 내적값에서, 상기 구한 제1 내적값을 차감하면, 상기 어레이 출력단에서 구한 원하는 신호(y₁)는 간섭 신호만이 남아 있게 되어, SIR 추정기(106)에서 SIR를 추정할 수 있게 된다.Input terminal of the adaptive antenna array (input vector of the weight vector calculation section [103]:

To

, Below

In general, the received signal coexists with the desired signal as well as other interference signals. Therefore, among the signals estimated at the array output terminal y, the direction vector of the desired signal y ₁ (

Weight vector ()

And the first dot product of the desired signal y ₁ obtained from the array output terminal. Then, the signal vector at the input of the array (

) And the weight vector (of the desired signal y ₁ )

Subtracting the obtained first dot value from the second dot product value of the helical operation value of H 2), only the interference signal remains in the desired signal y ₁ obtained at the array output stage, so that the SIR estimator 106 The SIR can be estimated.

The SIR estimation process can be rewritten as an equation as follows.

That is, as described in Equation 2 above. When the first dot value is subtracted from the second dot value, the desired signal y ₁ estimated at the array output terminal remains only as shown in Equation 7 below.

Sum of Interference Components at Array Outputs

=

=

Therefore, when the SIR at the output terminal of the adaptive antenna array is obtained using the results of Equation 5 to Equation 7, Equation 8 is expressed as follows.

SIR at Array Output

=

The SIR estimated by Equation 8 above is assumed to be performed whenever the antenna array receives a signal (this is called a snapshot) to calculate the weight vector at the base station where the adaptive antenna array is installed.

That is, the calculation of the weight vector is based on the assumption that the weight vector is updated at a specific time interval (although a very small time interval, of course) rather than continuously updating the weight vector because of the calculation amount.

For reference, in a wideband code division multiple access (WCDMA) system, a signal transmitted through a reverse link (a signal transmitted by a terminal to a base station) may be a dedicated physical data channel as illustrated in FIG. 3. Data Channel (DPDCH) (Data Signal) and Dedicated Physical Control Channel (DPCCH) (Control Signal) are to be transmitted, this WCDMA signal is composed of a time slot having a predetermined number per frame In the case of using the adaptive antenna array as in the present invention, the weight vector can be calculated once per one slot, or the weight vector can be calculated several times in one slot. Therefore, the SIR estimation proposed in the present invention is also made in accordance with the number of calculations of the weight vector.

However, the SIR estimated by this method is a fading phenomenon inevitably occurring in the mobile communication channel environment, and the SIR estimate may change in every snapshot, and the degree of the change is determined by the speed and channel environment of the moving object. It can be said that it is desirable to take some average because it may vary.

Therefore, in addition to the method of estimating the SIR for each snapshot described above (the SIR estimation is performed at one or more weight vector update rates in one slot), the instantaneous value of the SIR estimated in the previous snapshot is stored. It would be desirable to use a method of taking an average after a predetermined interval has passed (estimating SIR over one slot or one frame interval).

When the above-described SIR estimation method is expressed by a formula, it can be expressed as follows.

SIR at Averaged Array Output

=

은 l(0이상의 정수)번째 스냅샷에서 추정한 SIR를,

은 l번째 스냅샷에서 추정한 SIR에 곱해줄 계수이다. 아울러 L은 평균을 취하는 구간을 나타낸다. 이 L 구간도 적정하게 선택할 수 있다. At this time, the

Is the SIR estimated from the l (an integer greater than or equal to 0) snapshot,

Is the coefficient to be multiplied by the SIR estimated at the lth snapshot. In addition, L represents the interval which takes an average. This L section can also be selected appropriately.

은, 스냅 샷 인덱스가 작을수록 적은

값을 지정하고, 최근 스냅 샷(스냅샷 인덱스가 클수록)에서는 SIR 값에 더 큰 비중을 줄 수 있도록 큰

값을 지정하도록 한다. 또는, 상기

값은 모두

로 지정하여 평균을 취할 수도 있다.Meanwhile, the coefficient

The smaller the snapshot index, the less

Value, and in recent snapshots (the larger the snapshot index), the larger the SIR value,

Specify a value. Or

All values

It can also be taken as the average.

On the other hand, since the interfering signal is smaller than the intensity of the desired signal, and the change may also be small compared to the degree of change in the desired signal, it is more likely to estimate the SIR by estimating the SIR by averaging during a random snapshot. It may be a method. This is because averaging the estimated SIR over one or more slots or over one frame may result in the inability to rapidly reflect signal strength changes due to fading.

Therefore, Equations 8 and 9 may be expressed again as in Equation 10 below.

SIR at Array Output

=

When the total interval for averaging the interference components is called L (L snapshot intervals), the interference components are averaged by reflecting all chi_l coefficients from the current snapshot to the interference components before the Lth snapshot. . On the other hand, the desired signal strength reflects only the value in the current snapshot to reflect the change in the strength of the signal due to the fading phenomenon instantaneously.

If the SIR estimation method for each snapshot so far is to take the average of a certain interval, the change of the SIR according to the channel change can be reduced to some extent, and the estimated value can be converged to a more accurate value. .

On the other hand, when considering that the signal transmitted from the transmitting end (terminal) is received by the receiving end (base station) through the multi-path, the receiving end has a plurality of fingers (finger) on each antenna to collect the signals of each finger in the order of antenna The weight vector of the antenna array for each finger can be obtained. In this case, the SIR can be estimated for the signals of the fingers collected in the order of the respective antennas.

In the SIR estimation in this case, since the incidence angles of the paths of the signals received by each finger are generally different, the SIR should be estimated for each finger.

3 shows an adaptive antenna array structure for SIR estimation when the multipath exists.

Referring to FIG. 3, the SIR estimation in the WCDMA base station system includes a plurality of frequency down converters 201 for converting ultra-high frequency signals received through an antenna array into baseband signals, and the down-converted analog. A plurality of analog-to-digital converters (A / D converters) 202 for converting signals into digital signals and weight vectors used for forward beamforming from output signal vectors of the analog-to-digital converters 202 are K (an integer greater than or equal to 0). A weight vector calculator 203 for each of the four fingers, a multiplier 204 corresponding to the number of antennas for forming an actual beam for each finger with the weight vector obtained by the weight vector calculator 203, and An adder 205 for synthesizing the actual beams and outputting the respective beams, an output signal of the adder 205, that is, an antenna array output signal, and the analog digital signal; A first SIR estimator 206 for estimating a signal / interference ratio (SIR) for each finger using the output signal vector of the hair transformer 202 and the weight vector obtained by the weight vector calculator 203. And a second SIR estimator 207 for estimating the final SIR using the SIRs of each finger estimated by the first SIR estimator 206.

The SIR estimation based on the above configuration will be described in more detail with reference to the first finger.

~

, 이하

라 총칭함)들은 웨이트 벡터 계산부(203)로 인가되어, 적응적으로 조절되는 웨이트 벡터(복소수의 가중치)(

~

, 이하

라 총칭함)들을 산출하는데 이용된다. 또한, 상기 산출된 웨이트 벡터들(

)을 허미션(Hermitian) 연산한 값과, 상기 아날로그 디지털 변환기(202)의 출력 신호 벡터들(

)은 곱셈기(204)에서 각각 곱해진 후, 덧셈기(205)에 의해 합성되어 첫 번째 핑거에 대한 안테나 어레이의 출력신호로써 제1 SIR 추정기(206)에 인가된다. 또한, 임의의 i(0부터 K-1까지 증가하는 정수)번째 핑거에 대한 아날로그 디지털 변환기(202)의 출력 신호 벡터들(

∼

,이하

라 총칭함)도 웨이트 벡터 계산부(203)로 인가되어, 적응적으로 조절되는 웨이트 벡터(복소수의 가중치)(

~

,이하

라 총칭함)들을 산출하는데 이용된다. 또한, 상기 산출된 웨이트 벡터들(

)을 허미션(Hermitian) 연산한 값과, 상기 아날로그 디지털 변환기(202)의 출력 신호 벡터들(

)은 곱셈기(204)에서 각각 곱해진 후, 덧셈기(205)에 의해 합성되어 i번째 핑거에 대한 안테나 어레이의 출력신호로써 제1 SIR 추정기(206)에 인가된다. 또한, 상기 아날로그 디지털 변환기(202)의 출력 신호 벡터들(

~

)도 제1 SIR 추정기(206)에 인가된다.That is, the signals received by the plurality of antennas are converted into baseband signals by the same number of frequency downconverters 202 as those antennas, and likewise converted into digital signals by the same number of analog-to-digital converters 202. Is converted. At this time, output signal vectors of the analog-to-digital converter 202 (

To

, Below

Are collectively applied to the weight vector calculation unit 203, and are adaptively adjusted weight vectors (complex weights) (

To

, Below

Collectively). Further, the calculated weight vectors (

) And the output signal vectors of the analog-to-digital converter 202 (Hermitian)

Are multiplied by the multiplier 204, and then synthesized by the adder 205 and applied to the first SIR estimator 206 as the output signal of the antenna array for the first finger. Also, the output signal vectors of analog-to-digital converter 202 for any i (integer incrementing from 0 to K-1) (

To

,Below

(A general term) is also applied to the weight vector calculation unit 203, and adaptively adjusted weight vector (weight of complex number) (

To

,Below

Collectively). Further, the calculated weight vectors (

) And the output signal vectors of the analog-to-digital converter 202 (Hermitian)

Are multiplied by the multiplier 204, and then synthesized by the adder 205 and applied to the first SIR estimator 206 as the output signal of the antenna array for the ith finger. In addition, the output signal vectors of the analog-to-digital converter 202 (

To

) Is also applied to the first SIR estimator 206.

The operation of the first SIR estimator 206 is as follows.

)의 허미션 연산값과, 이 (y_i)의 제1 내적값을 먼저 구한다. 그리고, i번째 핑거의 어레이의 입력단 신호 벡터(

)와, 이 입력단 신호벡터(

)로부터 계산된 웨이트 벡터(

)의 허미션 연산값과의 제2 내적값에서, 상기 구한 제1 내적값을 차감하면, 상기 어레이 출력단에서는 i번째 핑거에 대한 간섭 신호만이 남아 있게 되어, 제1 SIR 추정기(206)에서 SIR를 추정할 수 있게 된다. 제1 SIR 추정기(206)에서의 이와 같은 과정은 K개의 핑거에 대해서 각각 이루어진다.The weight vector calculated from the input signal of the first SIR estimator 206, i.e., the array output signal y _i estimated at the i-th finger among the signals estimated at the array output y;

) Of the Hermitian operation value and obtains a first inner product value of (y _i) first. The input terminal signal vector of the array of the i-th finger

) And this input signal vector (

Weight vector computed from

Subtracting the obtained first dot value from the second dot product value of the helical calculation value of N,), only the interference signal for the i-th finger remains at the array output terminal, and the SIR estimator 206 Can be estimated. This process in the first SIR estimator 206 is performed for K fingers, respectively.

Meanwhile, the SIR estimation process of the second SIR estimator 207 is as follows.

The estimated K SIRs of the first SIR estimator 206 are obtained by the second SIR estimator 207, and are used as SIR values in the CDMA mobile communication system.

The SIR estimation process of the first SIR estimator 206 and the second SIR estimator 207 is represented by Equation 11 for K fingers.

SIR at Multiple Finger Array Outputs

=

는 i번째 핑거의 신호를 안테나 인덱스에 따라 모은 수신 신호 벡터로써,

로부터 구한 웨이트 벡터를 지칭하고,

는 이 웨이트 벡터(

)와 수신 신호 벡터

와의 복소 내적을 통해 구한 출력을 나타낸다.In other words,

Is a received signal vector collected from the i-th finger according to the antenna index.

Refers to the weight vector obtained from

Is this weight vector (

) And receive signal vector

The output obtained from the complex dot product with and.

In addition, a method of applying power control using the SIR obtained in Equation 8 to Equation 11 in the CDMA system equipped with the adaptive antenna array is as follows.

First, a CDMA base station system having an adaptive antenna array sets a threshold SIR for power control in the base station system. The base station system transmits a control command signal to the desired terminal to increase the transmit signal power of the desired user when an SIR larger than this threshold SIR is estimated, or when an SIR smaller than this threshold is estimated, The control command signal is transmitted to the desired terminal to lower the transmission signal power.

As described above, the present invention uses a weight vector approximating a direction vector of a signal transmitted from a specific terminal instead of using a pilot symbol of a signal transmitted from a specific terminal in a base station system equipped with an antenna array. SIR estimation is now possible. Ultimately, since the base station system smoothly performs power control for a specific terminal by accurate SIR estimation, the terminal has an effect of preventing unnecessary power waste.

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Claims (21)

Estimating an adaptive weight corresponding to a direction vector of a desired signal among the signals received at the antenna array; Calculating an antenna array output signal by integrating the calculated hermetic value of the adaptive weight and the received signal vector; The interference signal is obtained by subtracting a second inner product value of the estimated adaptation weight and the antenna product output value from the first inner product value of the estimated adaptation weight and the received product vector. Extracting; And estimating the SIR based on the extracted interference signal with respect to the antenna array output signal. The method of claim 1, wherein the SIR is estimated according to the estimated number of adaptive weights. The communication system according to claim 1, wherein the SIR is estimated from an average value of the SIR estimated from snapshots during one frame or one slot or more of a channel to which the received signal is transmitted. Applied SIR Estimation Method. 4. The method of claim 3, wherein the average value is obtained by multiplying each of the SIRs estimated for one or more slots or one frame by a different coefficient corresponding to a specific coefficient or a snapshot index. SIR estimation method. The SIR of claim 1, wherein the extraction of the interference signal is estimated from an average value of the interference signal estimated during one or more snapshots. Estimation method. The method of claim 5, wherein the interference signal estimated in each of the snapshots is multiplied by an arbitrary coefficient to obtain an average value. 2. The method of claim 1, further comprising: estimating adaptive weights approximating a direction vector of the received signal for each signal received in the multipath when the antenna array receives a signal in a multipath; Calculating output signals of the antenna array by internally embedding the calculated difference of the mission of the weight vector and the received signal vector for each path; For each path, from the first dot product of the estimated adaptation weight and the received product vector, the second dot value of the estimated adaptation weight and the antenna array output signal is calculated. Subtracting and extracting each interference signal; Estimating the SIRs based on the extracted interference signal with respect to the antenna array output signal for each path, and estimating the SIR based on the average value of the SIRs. SIR estimation method. A weight vector calculator for calculating an adaptive weight from a signal demodulated from a received signal of the antenna array; A multiplier corresponding to the number of antennas forming a beam by applying the adaptive weights calculated by the weight vector calculator; An adder for synthesizing and outputting the formed beams; And an SIR estimator for estimating a signal-to-interference noise ratio (SIR) using an output signal of the adder, the demodulated signal, and an adaptive weight calculated by the weight vector calculator. SIR estimation method applied to the system. A weight vector calculator for calculating adaptive weights for each of K (integers greater than 0) fingers from the signals demodulated from the antenna array; A multiplier corresponding to the number of antennas forming the beam for each finger by applying the adaptive weights calculated by the weight vector calculator; An adder for synthesizing the formed beams and outputting the synthesized beams for each finger; A first SIR estimator for estimating a signal-to-interference noise ratio (SIR) for each finger using the output signal of the adder, the demodulated signal, and the weight vector obtained by the weight vector calculator; And a second SIR estimator for estimating an SIR to be obtained from the SIR values of each finger estimated by the first SIR estimator. 10. The method of claim 9, wherein the second SIR estimator estimates SIR from an average value of SIR values estimated by the first SIR estimator. Calculating a weight vector corresponding to the signal transmitted from the particular transmitter; Obtaining an antenna array output signal corresponding to the signal transmitted from the particular transmitter; And Calculating a signal-to-noise ratio corresponding to the specific transmitter using the weight vector and the antenna array output signal Signal to noise ratio estimation method comprising a. The method of claim 11, The signal to noise ratio is,

And a signal-to-noise ratio estimation method, wherein w is a weight vector, y is an output signal of the antenna array, and x is a received signal vector. The method of claim 11, The signal-to-noise ratio estimation method for calculating the signal-to-noise ratio corresponding to the specific transmitter using the weight vector of the received signal and the antenna array output signal during a predetermined time interval. The method of claim 13, The signal to noise ratio is,

The signal-to-noise ratio estimation method characterized in that is calculated as (w is the weight vector, y is the output signal of the antenna array, x is the received signal vector,

silver

Constant corresponding to the first snapshot, L being the time interval) The method of claim 14, remind

silver,

A signal-to-noise ratio estimation method, characterized in that it has a value of 1 / L regardless of the value. The method of claim 14, remind

silver,

A method for estimating a signal-to-noise ratio, characterized in that has a large value as the value approaches L. The method of claim 11, And the signal-to-noise ratio is calculated using a weight vector of the signal received through each finger and the antenna array output signal to calculate a signal-to-noise ratio corresponding to the specific transmitter. The method of claim 17, The signal to noise ratio is,

Signal-to-noise ratio estimation method, wherein w is a weight vector, y is an output signal of an antenna array, x is a received signal vector, k is a finger index, and K is the number of fingers. The method of claim 11, And controlling the transmission power of a reverse signal by using the calculated signal-to-noise ratio. A weight vector calculator configured to calculate a weight vector corresponding to a signal transmitted from a specific transmitter; A signal obtaining unit obtaining an antenna array output signal corresponding to a signal transmitted from the specific transmitter, and obtaining a signal using the weight vector; And A signal-to-noise ratio calculator for calculating a signal-to-noise ratio corresponding to the specific transmitter by using the weight vector and the antenna array output signal. Signal to noise ratio estimation device comprising a. The method of claim 20, The signal acquisition unit may include a multiplication operation unit that multiplies the calculated weight vector by a received signal; And An addition operation unit for adding up the signal on which the multiplication operation is performed; Signal to noise ratio estimation device comprising a.

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