CN115833850A

CN115833850A - Method and device for realizing non-blind-zone non-aliasing digital channelization and electronic equipment

Info

Publication number: CN115833850A
Application number: CN202211408238.9A
Authority: CN
Inventors: 陈永其; 杨小牛; 楼财义
Original assignee: CETC 36 Research Institute
Current assignee: CETC 36 Research Institute
Priority date: 2022-11-10
Filing date: 2022-11-10
Publication date: 2023-03-21

Abstract

The invention discloses a method and a device for realizing non-blind area and non-aliasing digital channelization and electronic equipment. The method comprises the following steps: dividing the whole frequency band into integral multiple channels of 4, and dividing the divided channels into four groups, wherein the channel serial number can be divided into 1 st group of channels by 4, the group with remainder of 4 division as 1 is 2 nd group of channels, the group with remainder of 4 division as 2 is 3 rd group of channels, and the group with remainder of 4 division as 3 is 4 th group of channels; respectively deducing a channelization model based on a multiphase filter structure for each grouped channel, and synthesizing the obtained channelization models of each group; and designing a prototype filter according to the parameters of taking pi/4D as a pass band and taking 3 pi/2D as a transition band, and determining the filter of each channel in each group of synthesized channelized models according to the multiphase components of the prototype filter. The scheme of the invention can completely eliminate the problems of a dead zone of digital channelization and adjacent channel aliasing, greatly broaden the transition zone of the prototype filter and obtain smaller filter order and operand.

Description

Method and device for realizing non-blind-zone non-aliasing digital channelization and electronic equipment

Technical Field

The invention relates to the technical field of software radio, in particular to a method and a device for realizing non-blind area and non-aliasing digital channelization and electronic equipment.

Background

The software radio constructs a universal hardware platform with openness, standardization and modularization, and all functions including frequency conversion, filtering, modulation, demodulation and the like are completed by software. The software radio technology is not limited by hardware equipment with different specifications and structures, so that the software radio technology has high flexibility and openness. New functionality can be easily implemented by adding software modules. Hardware can be updated or expanded along with the development of devices and technologies, and software can be continuously upgraded or replaced as required. This requires the a/D to be as close to the antenna as possible, digitizing the signal as early as possible, reducing analog processing circuitry, and thus simplifying the circuitry of the analog processing portion. The reliability and the anti-interference performance of the equipment are improved. The ideal software radio architecture is radio frequency direct sampling digitization.

The sampling rate of the current Analog-to-Digital Converter (ADC) is above 5GHz, and the bandwidth is above 2GHz, so that the high sampling data rate makes the subsequent processing circuit unable to complete in real time, and Digital channelizing processing is necessary. Digital channelization is a core technology of software radio, and divides a high-rate data stream into multiple low-rate data streams for parallel processing, and reduces the operation amount.

Fig. 1 is a schematic diagram of a filter bank channelization structure adopted in the prior art. The basic principle of digital channelization is shown in fig. 1, and an input signal is filtered by each filter and is extracted by a factor of D, and then becomes a path D of low-rate output signal. Fig. 2 is a schematic diagram of the channel division and frequency response of the filter bank channelization structure of fig. 1. However, in practical applications, the filter bank channelization structure shown in fig. 2 is difficult to implement, especially when the number of channels is large and the D value is large, the required order of the filter is very high, and the implementation efficiency is very low because each channel is provided with such a filter.

In order to reduce the amount of computation and improve the efficiency, a digital channelization implementation method based on a polyphase filter bank is generally adopted, the implementation method greatly reduces the amount of computation, and the method is widely applied to signal processing of a broadband software radio platform to complete the functions of signal detection, identification, demodulation and the like. Fig. 3 is a diagram of a digital channelization model based on a polyphase filter bank adopted in the prior art. The data stream is decimated by a factor of D, and the rate is reduced, and the filter is the polyphase component of the prototype filter in fig. 1, and the total amount of computation is greatly reduced.

Digital channelization schemes all involve the design of prototype filters. Fig. 4 is a schematic position diagram of the blind and aliasing regions of three adjacent channels channelized by a typical prototype filter in the prior art. Due to the existence of a filter transition band, a blind area or an aliasing area is inevitably existed between adjacent channels, and signals in the blind area or the aliasing area cannot be correctly detected and extracted, which is an inevitable problem in conventional digital channelization.

In order to solve the problem of the blind area and the aliasing area of digital channelization, the existing technology generally compromises the widths of the blind area and the aliasing area according to practical application by adjusting the parameters (pass band and transition band) of a prototype filter. Fig. 5 is a diagram illustrating a prior art solution to the problem of the dead and aliasing regions of adjacent channels by adjusting the parameters of a prototype filter. Referring to FIG. 5:

in fig. 5 (a), there is no blind area between adjacent channels, but the aliasing area is wide, and the signals of each channel in the transition band area are aliased, which has a large influence on the performance of detection, identification, demodulation, etc.;

in fig. 5 (b), there is no aliasing area between adjacent channels, but there is a blind area, the signal of the blind area has loss and cannot cover the full frequency band, and the performance of detection, identification, demodulation, etc. is also affected, and other additional processing is needed to supplement the frequency band of the blind area, but this increases the complexity and the computation load;

in fig. 5 (c), the transition band of the filter is reduced, the width of the corresponding blind area is also reduced, and the ratio of frequency band coverage is improved.

Therefore, the problem of blind areas and aliasing areas cannot be solved by the currently adopted method for adjusting the parameters of the prototype filter, and the practical application has certain limitation, and particularly has great influence on monitoring and receiving of full frequency bands and full probability.

Disclosure of Invention

Aiming at the problems of inherent blind areas and aliasing areas of a digital channelization architecture based on a polyphase filter, the invention provides a method and a device for realizing digital channelization without blind areas and aliasing and electronic equipment, which can completely eliminate the problems of the blind areas and the aliasing of adjacent channels of the digital channelization, can greatly reduce the operation amount, are easy to realize and can monitor and receive full-frequency-band signals.

According to a first aspect of the present invention, there is provided a method for implementing non-blind area and non-aliasing digital channelization, comprising:

dividing the whole frequency band into integral multiple channels of 4, wherein the serial numbers of the channels are 0,1,2, \8230, 4D-1, and D is a positive integer;

dividing the divided channels into four groups in equal, wherein the channels with the channel serial numbers capable of being divided by 4 are grouped into a 1 st group of channels, the channels with the channel serial numbers divided by 4 with the remainder of 1 are grouped into a 2 nd group of channels, the channels with the channel serial numbers divided by 4 with the remainder of 2 are grouped into a 3 rd group of channels, the channels with the channel serial numbers divided by 4 with the remainder of 3 are grouped into a 4 th group of channels, and the number of the channels in each group of channels is D;

respectively deducing a channelization model based on a multiphase filter structure for each grouped channel to obtain a 1 st group of channelization models, a 2 nd group of channelization models, a 3 rd group of channelization models and a 4 th group of channelization models, and synthesizing the obtained groups of channelization models;

and designing a prototype filter according to the parameters of taking pi/4D as a pass band and taking 3 pi/2D as a transition band, and determining the filter of each channel in each group of synthesized channelized models according to the multiphase components of the prototype filter.

Preferably, the synthesized 1 st, 2 nd, 3 rd and 4 th sets of channelization models are:

wherein, the first and the second end of the pipe are connected with each other,

m is a data sequence number of each channel, m =0,1,2, \8230; k is the channel number before grouping, k =0,1,2, \ 8230;, 4D-1; p is the channel number in each block channelization model, p =0,1,2, \ 8230; x is the number of _p (m)、h _p (m) input data for the p-th channel of each block channelization model and its corresponding filter, respectively; y is _k (m) is output data of the k-th channel.

Preferably, the order of said prototype filter is designed to be the smallest integer multiple of said D that satisfies the index requirement closest order estimate, wherein said order estimate of said prototype filter is according to formula

Is obtained from _s For the sampling rate, Δ f is the transition band and 20 × log δ is the stopband attenuation.

Preferably, the polyphase components of the prototype filter are according to the formula h _p (m) = h (mD + p) decomposition.

According to a second aspect of the present invention, there is provided a blind-area-free aliasing-free digital channelization implementation apparatus, including:

the channel dividing unit is used for dividing the whole frequency band into integral multiples of 4 channels, the serial numbers of the channels are 0,1,2, \ 8230, and 4D-1, D are positive integers;

the channel grouping unit is used for dividing the divided channels into four groups in equal, wherein the channels with the channel serial numbers capable of being divided by 4 are grouped into a 1 st group of channels, the channels with the channel serial numbers divided by 4 with the remainder of 1 are grouped into a 2 nd group of channels, the channels with the channel serial numbers divided by 4 with the remainder of 2 are grouped into a 3 rd group of channels, the channels with the channel serial numbers divided by 4 with the remainder of 3 are grouped into a 4 th group of channels, and the number of the channels in each group of channels is D;

the channelized model derivation unit is used for respectively deriving a channelized model based on a multiphase filter structure for each grouped channel to obtain a 1 st group of channelized models, a 2 nd group of channelized models, a 3 rd group of channelized models and a 4 th group of channelized models, and synthesizing the obtained groups of channelized models;

and the channel filter determining unit is used for designing a prototype filter according to the parameters that the pass band takes pi/4D and the transition band takes 3 pi/2D, and determining the filter of each channel in each group of synthesized channelized models according to the multiphase components of the prototype filter.

According to a third aspect of the invention, there is provided an electronic device comprising a memory and a processor,

the memory stores a computer program, and the computer program is loaded and executed by the processor to implement the foregoing method for implementing digital channelization without blind areas and aliasing.

According to a fourth aspect of the present invention, there is provided a computer readable storage medium storing one or more computer programs which, when executed by a processor, implement the aforementioned shadow-free and aliasing-free digital channelization implementation method.

The technical scheme of the invention can achieve the following beneficial effects:

the invention provides a method and a device for realizing digital channelizing without blind area and aliasing and electronic equipment, which are characterized in that firstly, the whole frequency band is divided into 4D channels, the channels are divided into four groups of channels, then channelizing models based on a multiphase filter structure are respectively deduced for the four groups of channels, the obtained channelizing models are resynthesized, then, a prototype filter is designed according to the parameters of pi/4D taken by a pass band and 3 pi/2D taken by a transition band, and the filter of each channel in each synthesized group of channelizing models is determined according to the multiphase components of the prototype filter, so that the problems of aliasing of the blind area and adjacent channels of digital channelizing can be completely eliminated, the transition band of the prototype filter is greatly widened, the order and the operand of the filter are smaller, and the method and the device are easy to realize in practical application.

The scheme of the invention solves the inherent blind area and adjacent channel aliasing problems of the conventional digital channelization, can obviously improve the parallel and real-time processing capability of a communication search system, is beneficial to monitoring and receiving the full frequency band and the full probability of signals, and has great practical application value.

Drawings

In order to more clearly illustrate the technical solution of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, it is obvious that the drawings in the following description are only some embodiments described in the present invention, and it is obvious for those skilled in the art to obtain other drawings according to the drawings. In the drawings:

fig. 1 is a schematic diagram of a filter bank channelization structure used in the prior art;

FIG. 2 is a schematic diagram of the channel division and frequency response of the filter bank channelization structure of FIG. 1;

FIG. 3 is a diagram of a prior art polyphase filter bank based digital channelization model;

FIG. 4 is a schematic diagram of the positions of the dead and aliased regions of three adjacent channels channelized with a typical prototype filter according to the prior art;

FIG. 5 is a diagram of a prior art technique for solving the problem of the dead and aliased regions of adjacent channels by adjusting the prototype filter parameters;

FIG. 6 is a flow chart of a method for implementing non-blind area and non-aliasing digital channelization provided by the invention;

FIG. 7 is a schematic diagram of the channel division and four-grouping provided by the present invention;

FIG. 8 is a schematic diagram of a digital channelization implementation of packet channels provided by the present invention;

FIG. 9 is a schematic diagram of group 1 channelization models provided by the present invention;

FIG. 10 is a schematic diagram of a group 2 channelization model provided by the present invention;

FIG. 11 is a schematic diagram of group 3 channelization models provided by the present invention;

FIG. 12 is a schematic diagram of group 4 channelization models provided by the present invention;

FIG. 13 is a schematic diagram of a prototype filter design provided by the present invention;

fig. 14 is a schematic structural diagram of a non-blind area non-aliasing digital channelization implementation apparatus provided in the present invention;

fig. 15 is a schematic structural diagram of an electronic device provided in the present invention.

Detailed Description

The invention will be described in more detail below with reference to the accompanying drawings. These embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein.

As can be seen from the analysis of the background section above, the aliasing of the adjacent channel signal is caused by the filter's transition band being too wide. If the transition band of the filter is made narrow (less than the frequency resolution), as in fig. 5 (a), then one signal will not enter 2 channels simultaneously. However, in this case, since the transition band is too narrow, the order of the filter is high, and the order is estimated below.

If the frequency resolution is 25KHz, namely a transition band delta f =25KHz =0.025MHz, fs =2400MHz, the ripple in the band is 0.5dB, and the stopband attenuation is 20 × log δ = -65dB. The filter order N required when designing such a filter using the window function method (the Caesar window) is:

substituting the data to obtain: n =381393. Such high order filters are hardly realizable. It can be seen that the method of narrowing the transition band of the filter is not feasible.

Another method is analyzed as follows: a method for narrowing the passband of a filter.

As shown in fig. 5 (b), it is known from the previous analysis that adjacent channel signals do not alias as long as the frequency bands between the filters do not overlap. However, in this case, a blind area is generated between adjacent channels, and a signal in the blind area is "missed". The comparison of the blind area width calculated by the formula (1) and the filter order number is shown in table 1, and it is seen that the filter order number is greatly increased when the blind area is reduced, and the cost is very high.

TABLE 1 Blind zone Width and Filter order comparison Table

Fig. 6 is a schematic flow chart of a method for implementing non-blind-area non-aliasing digital channelization provided by the present invention. Referring to fig. 6, the method includes steps S610 to S640:

step S610, dividing the whole frequency band into integral multiple channels of 4, the channel serial number is 0,1,2, \ 8230, 4D-1, D is positive integer.

The number of divided channels is generally determined according to the frequency band distribution and bandwidth of the whole frequency band. In step S610, the entire frequency band is divided into 4D channels.

Step S620, dividing the divided channels into four groups, wherein the channels with channel numbers divisible by 4 are grouped into the 1 st group of channels, the channels with channel numbers divisible by 4 and the remainder of 1 are grouped into the 2 nd group of channels, the channels with channel numbers divisible by 4 and the remainder of 2 are grouped into the 3 rd group of channels, the channels with channel numbers divisible by 4 and the remainder of 3 are grouped into the 4 th group of channels, and the number of channels in each group of channels is D.

Fig. 7 is a schematic diagram of channel division and four-packet in accordance with the present invention. The whole frequency band is first divided into 4D channels, and then the divided channels are divided into four groups in equal halves. Fig. 7 (a) is a diagram of dividing the entire frequency band into 4D channels, and the entire frequency band covers no blind area, fig. 7 (b) is a group 1 channel obtained by grouping channels whose channel numbers can be divided by 4, fig. 7 (c) is a group 2 channel obtained by grouping channels whose remainder is 1 whose channel numbers are divided by 4, fig. 7 (D) is a group 3 channel obtained by grouping channels whose remainder is 2 whose channel numbers are divided by 4, and fig. 7 (e) is a group 4 channel obtained by grouping channels whose remainder is 3 whose channel numbers are divided by 4.

The center frequency of the filter bank for the group 1 channel shown in fig. 7 (b) can be represented by equation (2):

the center frequency of the filter bank for the group 2 channel shown in fig. 7 (c) can be represented by equation (3):

the center frequency of the filter bank for the group 3 channel shown in fig. 7 (d) can be represented by equation (4):

the center frequency of the filter bank for the 4 th group of channels shown in fig. 7 (e) can be represented by equation (5):

step S630, respectively deducing a channelization model based on a polyphase filter structure for each grouped channel to obtain a 1 st group of channelization models, a 2 nd group of channelization models, a 3 rd group of channelization models and a 4 th group of channelization models, and synthesizing the obtained groups of channelization models;

following, a channelization model based on a polyphase filter structure is derived for each of the 1 st, 2 nd, 3 rd and 4 th sets of channels.

Fig. 8 is a schematic diagram of the digital channelization implementation method for each packet channel provided by the present invention. Referring to fig. 8, the input signal is first respectively compared with D local oscillator signals (angular frequency is ω) _k ) The effect of the local oscillator is to shift the D sub-bands (channels) to baseband (zero if). Then passes through a low-pass filter h connected downstream _Lp (n) (prototype filter h (n)) filters out the corresponding sub-band. For complex signals, the signal may be decimated by a factor of D, since the filtered signal has a bandwidth of 2 pi/D.

1) Group 1 channelization model derivation

Let the output of the 1 st group of channels be y _k (m) if the digital channelization implementation shown in fig. 8 is adopted, the output of the k-th channel in fig. 7 (b) is (for convenience, h (n) is used instead of h) _Lp (n))：

Wherein m is a data sequence number of each channel, m =0,1,2, \ 8230; k is the channel number in the 1 st group of channels, k =0,1,2, \8230, D-1, n = mD;

order: i = l/D, then:

order: x is the number of _p (m)＝x(mD-p) (6)

h _p (m)＝h(mD+p) (7)

Then:

from equation (2), the center frequency of the sub-band is

The sub-band is now shifted to zero frequency, so that

Substituting the formula (8) to obtain:

fig. 9 is a schematic diagram of group 1 channelization models provided by the present invention.

2) Group 2 channelization model derivation

Let the output of the 2 nd group channel be z _k (m), still using the digital channelization implementation shown in fig. 8, the same reasoning can be followed from the above:

handle

Substituting the formula to obtain:

fig. 10 is a schematic diagram of group 2 channelization models provided by the present invention.

3) Group 3 channelization model derivation

Let the output of the 3 rd group channel also be z _k (m), still using the digital channelization implementation shown in fig. 8, the same reasoning can be followed from the above:

handle

Substituting the formula to obtain:

fig. 11 is a schematic diagram of group 3 channelization models provided by the present invention.

4) 4 th set of channelization model derivation

Let the output of the 4 th group of channels also be z _k (m), still using the digital channelization implementation shown in fig. 8, the same reasoning can be followed from the above:

handle

Substituting the formula to obtain:

fig. 12 is a schematic diagram of group 4 channelization models provided by the present invention.

5) Each group of channelized models obtained by synthesis

The 4D channels of equations (9), (11), (12), (13) are collectively expressed:

wherein the content of the first and second substances,

m is a data sequence number of each channel, m =0,1,2, \ 8230; k is the channel number before grouping, k =0,1,2, \ 8230;, 4D-1; p is the channel number in each block channelization model, p =0,1,2, \ 8230; x is the number of _p (m)、h _p (m) input data for the p-th channel of each block channelization model and its corresponding filter, respectively; y is _k (m) is output data of the kth channel.

From the above derivation, a polyphase filter structure-based channelization model of all channels is obtained by equation (14), where a channel whose channel number can be divided by 4 is used as the 1 st set of channelization models shown in fig. 9, a channel whose remainder is divided by 4 is used as the 2 nd set of channelization models shown in fig. 10, a channel whose remainder is divided by 4 is used as the 3 rd set of channelization models shown in fig. 11, and a channel whose remainder is divided by 4 is used as the 4 th set of channelization models shown in fig. 12. If full band reception is required, the channelization models of fig. 9-12 are used, and if only partial band reception is required, the output of the corresponding channel in the channelization models of fig. 9-12 is selected.

It should be noted that the above derived polyphase filter bank channelization model is directed to the input signal as a complex signal. The real signal is also suitable for the model, and only the real signal is taken as a special case of complex signal, and the number of independent output channels is correspondingly reduced by one time due to the head-to-tail symmetry of the output channels.

And step S640, designing a prototype filter according to the parameters that the pass band takes pi/4D and the transition band takes 3 pi/2D, and determining the filter of each channel in each group of synthesized channelized models according to the multiphase components of the prototype filter.

Fig. 13 is a schematic diagram of a prototype filter design provided by the present invention. As shown in fig. 13, the whole frequency band is divided into 4D channels, the bandwidth of each channel is pi/2D, the pass band of the prototype filter is pi/4D, and the transition band is 3 pi/2D.

The most computationally intensive filtering in the channelization model is performed, and the performance of the prototype filter designed by the present invention is analyzed below.

If the sampling rate fs =2400MHz and the decimation multiple D is 8, then 4D =32 channels are obtained altogether, the bandwidth of each channel is 75MHz, and the widest filter transition band Δ f of the scheme can also reach 225MHz. The in-band ripple and the stop-band attenuation of the filter are determined according to the requirements of practical application. If the determined in-band ripple is 0.5dB and the stopband attenuation is 20 × log δ = -65dB, the order of the filter is estimated by still adopting the formula (1), the order estimation value of the filter is 44, and the minimum integral multiple of D closest to the order estimation value 44 is taken, so that the smaller order N of the filter can be obtained and is 48, which is far smaller than the order of the filter in the table 1, the calculation amount is greatly reduced, the realization is easy, and the problems of dead zones and aliasing zones are solved.

It can be seen that although the method of the present invention uses four sets of channelization models, compared with the conventional digital channelization, the method uses three sets of channelization models more, but the actual computation amount is much smaller.

It should be noted that, a prototype filter can be designed by using software such as Matlab, etc., the passband of the prototype filter is pi/4D, the transition band is 3 pi/2D, the in-band ripple and the stop band attenuation of the prototype filter are determined according to the practical application requirements, and the band-pass filter is determined according to the formula (1):

after the order estimation value of the prototype filter is obtained, the order of the prototype filter is finally designed to be the minimum integral multiple of the D closest to the order estimation value and meeting the index requirement, so that the method is convenient to realize in practical application.

In addition, according to the derivation process of the channelization model, the above equation (6) may be adopted: h is a total of _p (m) = h (mD + p) decompose the prototype filter to obtain the polyphase components of the prototype filter, and then determine the filter of each channel in each synthesized set of channelization models from the polyphase components of the prototype filter.

In summary, the method for implementing non-blind area and non-aliasing digital channelization provided by the present invention first divides the entire frequency band into 4D channels, equally divides the channels into four groups of channels, then respectively deduces channelization models based on a polyphase filter structure for the four groups of channels, resynthesizes the obtained channelization models, designs a prototype filter according to parameters of pi/4D for the pass band and 3 pi/2D for the transition band, and determines the filter of each channel in each synthesized group of channelization models according to the polyphase component of the prototype filter, thereby completely eliminating the problem of aliasing of the blind area and adjacent channels of digital channelization, greatly widening the transition band of the prototype filter, obtaining smaller filter order and operand, and being easy to implement in practical application.

Therefore, the method for realizing the digital channelization without the blind area and the aliasing solves the inherent problems of the blind area and the aliasing of adjacent channels in the conventional digital channelization through problem analysis, theoretical derivation and architecture design, has simple and efficient scheme, greatly reduces the operation amount and improves the practicability. The method can obviously improve the parallel and real-time processing capability of the communication search system, is beneficial to monitoring and receiving the full frequency band and the full probability of signals, and has great practical application value.

The invention also provides a device for realizing the digital channelization without blind areas and aliasing. Fig. 14 is a schematic structural diagram of a non-blind-area non-aliasing digital channelization implementation apparatus provided in the present invention, and as shown in fig. 14, the non-blind-area non-aliasing digital channelization implementation apparatus of the present invention includes:

the channel dividing unit 141 is used for dividing the whole frequency band into integral multiples of 4 channels, the serial numbers of the channels are 0,1,2, \ 8230, 4D-1, D are positive integers;

a channel grouping unit 142, configured to divide the divided channels into four groups, where channels with channel numbers divisible by 4 are grouped into a 1 st group of channels, channels with channel numbers divisible by 4 and whose remainder is 1 are grouped into a 2 nd group of channels, channels with channel numbers divisible by 4 and whose remainder is 2 are grouped into a 3 rd group of channels, channels with channel numbers divisible by 4 and whose remainder is 3 are grouped into a 4 th group of channels, and the number of channels in each group of channels is D;

a channelization model derivation unit 143, configured to respectively derive channelization models based on a polyphase filter structure for each grouped channel, to obtain a 1 st group of channelization models, a 2 nd group of channelization models, and a 3 rd group of channelization models, and synthesize the obtained groups of channelization models;

and a channel filter determining unit 144, configured to design a prototype filter according to a parameter that a pass band takes pi/4D and a transition band takes 3 pi/2D, and determine a filter of each channel in each synthesized group of channelization models according to a polyphase component of the prototype filter.

wherein the content of the first and second substances,

Preferably, the order of the prototype filter is designed to be the smallest integer multiple of the closest D to the order estimate satisfying the specification, wherein the order estimate of the prototype filter is according to formula

To obtain f _s For the sampling rate, Δ f is the transition band and 20 × log δ is the stopband attenuation.

The implementation process of each unit module in the non-blind-area non-aliasing digital channelization implementation device of the present invention can refer to the above method embodiments, and is not described herein again.

The invention also provides an electronic device, which belongs to the same technical concept as the method and the device. Fig. 15 is a schematic structural diagram of an electronic device provided in the present invention. Referring to fig. 15, the electronic device provided by the present invention includes a Memory and a processor, where the Memory may be a Memory, such as a Random-Access Memory (RAM), or a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The memory stores a computer program which is loaded and executed by the processor to implement the aforementioned method for implementing digital channelization without blind areas and aliasing.

On the hardware level, the electronic device may further optionally include: display panel, interface module, communication module, and the like. The memory, the processor, and the display panel, the interface module, the communication module, etc. may be connected to each other through an internal bus, which may be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 15, but that does not indicate only one bus or one type of bus.

The present invention also proposes a computer-readable storage medium storing one or more computer programs which, when executed by a processor, implement the aforementioned blind-area-free aliasing-free digital channelization implementation method.

As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, apparatus, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-readable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) containing the computer program.

These computer programs may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer programs may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In some typical configurations, a computer device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory. The memory may include forms of volatile memory in a computer readable medium, random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable storage medium.

Computer-readable storage media include permanent and non-permanent, removable and non-removable media and may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable storage medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising one of 8230; \8230;" 8230; "does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.

The above are merely examples of the present invention, and are not intended to limit the present invention. Various modifications and alterations to this invention will become apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.

Claims

1. A method for realizing digital channelization without blind areas and aliasing is characterized by comprising the following steps:

dividing the whole frequency band into integral multiple channels of 4, the serial number of the channel is 0,1,2, \ 8230, 4D-1, D is positive integer;

dividing the divided channels into four groups in equal, wherein the channels with the channel serial numbers capable of being divided by 4 are grouped into a 1 st group of channels, the channels with the channel serial numbers divided by 4 and the remainder being 1 are grouped into a 2 nd group of channels, the channels with the channel serial numbers divided by 4 and the remainder being 2 are grouped into a 3 rd group of channels, the channels with the channel serial numbers divided by 4 and the remainder being 3 are grouped into a 4 th group of channels, and the number of the channels in each group of channels is D;

2. The method of claim 1, wherein the synthesized set 1,2, 3, and 4 channelization models are:

m is a data sequence number of each channel, m =0,1,2, \ 8230; k is the channel number before grouping, k =0,1,2, \ 8230;, 4D-1; p is the channel number in each block channelization model, p =0,1,2, \ 8230; x is a radical of a fluorine atom _p (m)、h _p (m) input data for the p-th channel of each block channelization model and its corresponding filter, respectively; y is _k (m) is output data of the k-th channel.

3. The method of claim 2, wherein the order of the prototype filter is designed to be the smallest integer multiple of the D closest to the order estimate satisfying the specification requirement, wherein the order estimate of the prototype filter is according to equation

4. The method of claim 3, wherein the polyphase components of the prototype filter are according to the formula h _p (m) = h (mD + p) decomposition.

5. A blind-area-free aliasing-free digital channelization implementation apparatus, comprising:

and the channel filter determining unit is used for designing a prototype filter according to the parameters that the pass band takes pi/4D and the transition band takes 3 pi/2D, and determining the filter of each channel in each synthesized group of channelized models according to the polyphase components of the prototype filter.

6. The apparatus of claim 5, wherein the synthesized set 1 channelization model, set 2 channelization model, set 3 channelization model, and set 4 channelization model are:

wherein the content of the first and second substances,

m is a data sequence number of each channel, m =0,1,2, \ 8230; k is the channel number before grouping, k =0,1,2, \ 8230;, 4D-1; p is the channel number in each block channelization model, p =0,1,2, \ 8230; x is the number of _p (m)、h _p (m) input data for the p-th channel of each block channelization model and its corresponding filter, respectively; y is _k (m) is output data of the k-th channel.

7. The apparatus of claim 6, wherein the order of the prototype filter is designed to meet the nearest of the target requirementsA minimum integer multiple of said D of order estimates, wherein order estimates for said prototype filter are according to equation

8. The apparatus of claim 7, wherein the polyphase components of the prototype filter are according to the formula h _p (m) = h (mD + p) decomposition.

9. An electronic device comprising a memory and a processor,

the memory stores a computer program, which is loaded and executed by the processor to implement the method of implementing blind-area-free aliasing-free digital channelization according to any one of claims 1 to 4.

10. A computer readable storage medium storing one or more computer programs which, when executed by a processor, implement the blind-area-free aliasing-free digital channelization implementation of any one of claims 1-4.