CN118068269A - Large bandwidth signal searching method and device - Google Patents
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Abstract
The invention relates to a method and a device for searching a large bandwidth signal, belonging to the field of signal analysis and detection, wherein the method comprises the following steps: sampling the multipath parallel large bandwidth signals by using an analog-to-digital converter to obtain signal samples; obtaining an estimated bandwidth and an estimated center frequency of a signal sample according to the channelized analysis; and carrying out digital down-conversion processing on the signal samples according to the estimated bandwidth and the estimated center frequency to obtain zero intermediate frequency signals corresponding to the multipath parallel large bandwidth signals. According to the technical scheme, the analog-digital converter is utilized to process the signals, the channelized analysis method is utilized to estimate the signals, the real-time search is effectively carried out on the multipath parallel large-bandwidth signals, the priori knowledge of the signals is not required to be acquired in advance, the digital down-conversion is utilized to separate the multipath parallel signals in the large bandwidth, and the problems of long time consumption and high resource consumption of the multipath parallel large-bandwidth signal analysis are solved.
Description
Technical Field
The invention relates to the field of signal analysis and detection, in particular to a method and a device for searching a large-bandwidth signal.
Background
With the development of communication and radar technology, microwave signals gradually tend to have a large bandwidth, high frequency and multiple systems, and microwave signal analysis also has a parallel direction of large bandwidth multiple body signals. In the radar field, the requirements of real-time measurement of radar pulse signals are put forward in the scenes of research, development, production, equipment target range test, electronic investigation and the like, and the problem to be solved firstly is to complete signal search in a large bandwidth range.
For large bandwidth signals, digital channelization is typically used for processing. The target signal processed by the radar signal detecting system is generally a non-cooperative signal, which results in blindness caused by lack of prior information in the conventional digital channelized structure when the channel is divided, so that the radar signal detecting system can cross channels when processing the target signal. And signal sample superposition in a large bandwidth range can cause the problems of high signal separation difficulty, too complex calculation and insufficient instantaneity.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides a method and a device for searching a large bandwidth signal.
According to a first aspect of an embodiment of the present invention, there is provided a method for searching a large bandwidth signal, the method including:
sampling the multipath parallel large bandwidth signals by using an analog-to-digital converter to obtain signal samples;
obtaining an estimated bandwidth and an estimated center frequency of the signal sample according to the channelized analysis;
and performing digital down-conversion processing on the signal samples according to the estimated bandwidth and the estimated center frequency to obtain zero intermediate frequency signals corresponding to the multipath parallel large bandwidth signals.
Optionally, the sampling the multiple parallel large bandwidth signals by using an analog-to-digital converter to obtain signal samples includes:
processing the multipath parallel large bandwidth signals by using the analog-to-digital converter to obtain serial output signals;
And processing the serial output signal by using a field programmable gate array to obtain the signal sample.
Optionally, the obtaining the estimated bandwidth and the estimated center frequency of the signal samples according to the channelization analysis includes:
carrying out channelizing treatment on the signal samples by utilizing short-time Fourier transformation to obtain the treated signal samples;
and after the processed signal samples are arranged according to the channel sequence, performing edge detection to obtain the estimated bandwidth and the estimated center frequency.
Optionally, the method further comprises:
And when the signal is also present in the adjacent channel of the channel in which the signal sample is located, obtaining the estimated bandwidth and the estimated center frequency according to the channel in which the signal sample is located and the signal in the adjacent channel.
Optionally, the performing digital down-conversion processing on the signal samples according to the estimated bandwidth and the estimated center frequency to obtain zero intermediate frequency signals corresponding to the multiple parallel large bandwidth signals, where the zero intermediate frequency signals include:
configuring a corresponding digital down-conversion module according to the estimated bandwidth and the estimated center frequency;
And performing digital down-conversion processing on the signal samples by using the digital down-conversion module to obtain zero intermediate frequency signals corresponding to the multipath parallel large-bandwidth signals.
Optionally, the performing digital down-conversion processing on the signal samples by using the digital down-conversion module to obtain zero intermediate frequency signals corresponding to the multiple parallel large bandwidth signals, where the processing includes:
Mixing the channels where the signal samples are located, and obtaining corresponding in-phase signals and quadrature signals for the channels where each signal sample is located;
And filtering the in-phase signal and the quadrature signal to obtain the zero intermediate frequency signal.
Optionally, the digital down conversion module includes a digitally controlled oscillator, a decimation filter, and a low pass filter.
According to a second aspect of an embodiment of the present invention, there is provided a large bandwidth signal searching apparatus, the apparatus including:
The sampling module is used for sampling the multipath parallel large-bandwidth signals by utilizing the analog-to-digital converter to obtain signal samples;
the estimation module is used for obtaining the estimated bandwidth and the estimated center frequency of the signal sample according to the channelized analysis;
And the processing module is used for carrying out digital down-conversion processing on the signal samples according to the estimated bandwidth and the estimated center frequency to obtain zero intermediate frequency signals corresponding to the multipath parallel large bandwidth signals.
The technical scheme provided by the embodiment of the invention can comprise the following beneficial effects:
in the technical scheme, the analog-to-digital converter is utilized to sample multiple paths of parallel large-bandwidth signals to obtain signal samples; obtaining an estimated bandwidth and an estimated center frequency of a signal sample according to the channelized analysis; and carrying out digital down-conversion processing on the signal samples according to the estimated bandwidth and the estimated center frequency to obtain zero intermediate frequency signals corresponding to the multipath parallel large bandwidth signals. According to the technical scheme, the analog-digital converter is utilized to process the signals, the channelized analysis is utilized to estimate the signals, the real-time search is effectively carried out on the multipath parallel large-bandwidth signals, the priori knowledge of the signals is not required to be acquired in advance, the digital down-conversion is utilized to separate the multipath parallel signals in the large bandwidth, and the problems of long time consumption and high resource consumption of the multipath parallel large-bandwidth signal analysis are solved.
Drawings
The accompanying drawings are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate the invention and together with the description serve to explain, without limitation, the invention. In the drawings:
fig. 1 is a flow chart illustrating a method of searching for a large bandwidth signal according to an exemplary embodiment.
Fig. 2 is a schematic diagram illustrating a method of searching for a large bandwidth signal according to an exemplary embodiment.
Fig. 3 is a schematic diagram illustrating yet another large bandwidth signal search method according to an exemplary embodiment.
Fig. 4 is a block diagram illustrating a large bandwidth signal searching apparatus according to an exemplary embodiment.
Detailed Description
In order to facilitate the understanding of the present invention, the related state of the art and the inventive concept of the present invention will be briefly described.
In the radar field, the research, the production, the equipment range test, the electronic investigation and other scenes put forward the requirement of real-time measurement of radar pulse signals, and along with the development of communication and radar technology, microwave signals gradually tend to have large bandwidth, high frequency and multiple systems, and microwave signal analysis also develops towards the parallel direction of large bandwidth multiple body signals. Large bandwidth, high frequency and multi-regime microwave signals typically have the following characteristics: large bandwidth: the signal has a wide frequency range, can transmit diversified and complex information, can transmit more data and information, and is suitable for high-speed data communication and wide-frequency transmission; high frequency: the microwave signal is usually in a high frequency band, usually in a frequency range of 1GHz to 300GHz, and the high-frequency microwave signal has a shorter wavelength, so that high-speed data transmission and accurate wireless communication can be provided; multi-system: the finger signal can support a plurality of different modulation modes and signal formats, such as Frequency Modulation (FM), amplitude Modulation (AM), phase Shift Keying (PSK) and the like, and the multi-system microwave signal can flexibly adapt to different communication requirements, including audio transmission, video transmission, data communication and the like.
The target signal processed by the radar signal detection system is generally a non-cooperative signal, which can lead to blindness caused by lack of prior information when the traditional digital channelized structure performs channel division, so that the radar signal detection system can cross channels when processing the target signal. In addition, conventional digital channelization often uses digital filter banks with overlapping structures in order to be able to receive the target signal in full frequency band, which results in more difficult cross-channel signal processing.
The invention provides a method for searching a signal with large bandwidth, which solves the technical problems of large signal separation difficulty, too complex calculation and insufficient instantaneity caused by signal sample superposition in a large bandwidth range.
The following describes specific embodiments of the present invention in detail with reference to the drawings. It should be understood that the detailed description and specific examples, while indicating and illustrating the invention, are not intended to limit the invention.
It should be noted that, all actions of acquiring signals, information or data in the present invention are performed under the condition of conforming to the corresponding data protection rule policy of the country of the location and obtaining the authorization given by the owner of the corresponding device.
Fig. 1 is a flowchart illustrating a method of searching for a large bandwidth signal according to an exemplary embodiment, the method including the following steps, as shown in fig. 1.
In S101, a signal sample is obtained by sampling multiple parallel large bandwidth signals with an analog-to-digital converter.
It will be appreciated that the multiple parallel large bandwidth signals, such as non-cooperative signals processed by a radar signal detection system, or other large bandwidth microwave signals, are first sampled. Digital interface: high-speed Analog-to-Digital Converter (ADC) converters are used to digitize the large bandwidth signals. This requires an ADC with a high sampling rate and a bandwidth frequency range to ensure that all frequency components of the signal are effectively captured. Ultra-high sampling rate: for the acquisition of large bandwidth signals, it is necessary to use ADCs capable of sampling at ultra-high rates to ensure accurate capture of the high frequency content and fast varying details of the signal. Real-time signal processing: real-time signal processing is typically required after the acquisition of the large bandwidth signal. This requires a high performance digital signal Processor (DIGITAL SIGNAL Processor, DSP) or off-the-shelf system for real-time signal processing, including filtering, demodulation, modulation and other digital processing. High-speed data interface: in order to transmit large bandwidth signal acquisition data, a high speed data interface and transmission protocol, such as JESD204B, JESD C, etc., are required to ensure that the huge amount of acquired data can be quickly transmitted and processed.
In one embodiment, the invention uses a high-speed ADC with the highest sampling rate of I/Q40 GSa/s to sample the signal with the bandwidth of 18GHz, and the maximum frequency modulation bandwidth of a single-path signal is 1G.
In S102, an estimated bandwidth and an estimated center frequency of the signal samples are obtained from the channelization analysis.
As will be appreciated, channelisation analysis refers to uniform channelisation analysis, an analysis of the signal being affected by the channel during transmission. A channel refers to a transmission medium through which a signal passes when transmitted from a transmitting end to a receiving end, and the state of the channel may have a certain influence on the signal, such as noise interference, attenuation, multipath effect, and the like. The signal samples are analyzed from the channel layer, and the estimated bandwidth and the estimated center frequency of the signal samples can be obtained.
In S103, digital down-conversion processing is performed on the signal samples according to the estimated bandwidth and the estimated center frequency, so as to obtain zero intermediate frequency signals corresponding to the multipath parallel large bandwidth signals.
It will be appreciated that, when a signal is detected, digital down-conversion (Digital Down Converter, DDC) processing is performed on the signal samples based on the estimated bandwidth and estimated center frequency, thus resulting in a baseband signal corresponding to a large bandwidth signal.
DDCs may convert from a higher frequency Intermediate Frequency (IF) or Radio Frequency (RF) signal to a lower frequency baseband signal. DDC typically includes the following key steps:
1. Sampling and quantization: the input signal is first analog-to-digital converted (ADC) to convert the continuous analog signal to a discrete digital signal.
2. Digital mixing: a digital local oscillator signal is generated by a digitally controlled oscillator (Numerically Controlled Oscillator, NCO) and multiplied by the ADC signal to down-convert the signal from a higher intermediate frequency to a lower frequency.
3. Low pass filtering: the down-converted signal may also contain unwanted high frequency components and therefore these components need to be removed by a digital Low pass filter (Low PASS FILTER, LPF) to preserve only the signal content in the baseband.
4. Extraction and demodulation: to further reduce the data rate and extract the original information carrier, the filtered signal may be decimated and then demodulated to recover the original baseband information.
Optionally, S101 includes:
processing the multipath parallel large bandwidth signals by using an analog-to-digital converter to obtain serial output signals;
And processing the serial output signal by using a field programmable gate array to obtain a signal sample.
Optionally, after the analog-to-digital converter is used to process the multi-channel parallel large bandwidth signal, the serial signal is further required to be transmitted to the FPGA (Field-Programmable gate array) through a serial high-speed line, and is converted into multi-channel parallel signal samples. The rate and bandwidth of data transmission can be improved to some extent.
Optionally, S102 includes:
Carrying out channelizing treatment on the signal samples by utilizing short-time Fourier transformation to obtain the treated signal samples;
and after the processed signal samples are arranged according to the channel sequence, performing edge detection to obtain an estimated bandwidth and an estimated center frequency.
It will be appreciated that the use of edge detection to obtain the estimated bandwidth and estimated center frequency of signal samples can be referred to as follows: by using the frequency domain energy detection method, N sub-channels are divided after short-time Fourier channelization, the bandwidth of each sub-channel is fs/N, and the center frequency is kfs/N. The output |f (n, k) |2 can be regarded as the power of the output signal in the kth sub-channel at the nth time instant. By comparing the value with a preset threshold, if |F (n, k) |2 is larger than the detection threshold, it can be judged that a signal arrives in the sub-channel at the moment, and the carrier frequency of the signal at the moment can be obtained according to the position of the channel. The arrival time of the signal can be determined when the signal appears for the first time in a sliding window function, and similarly, the end time of the signal can be determined when the signal disappears from the window function, and the estimated bandwidth and the estimated center frequency of the processed signal sample can be obtained according to the above.
Under the condition that the characteristics of the signal samples are unknown, the method of Short-time Fourier transform (STFT) is adopted to realize uniform channelized reception, and the specific method is to perform two paths of parallel M-point Short-time Fourier transform, calculate frequency once according to M/(2 xFs), calculate FFT in an overlapping mode, the overlapping rate is 1/2, and the frequency resolution is Fs/M, so that a time-frequency domain two-dimensional signal distribution diagram is obtained. Fig. 2 is a schematic diagram showing a method for searching a large bandwidth signal according to an exemplary embodiment, assuming that a 1024-point FFT (Fast Fourier Transform ) is used to implement fourier transform, table 1 is a reference parameter of the 1024-point FFT, and the following characteristics are provided: the original sampling rate is kept at 40GSa/s, the sampling period is 25ps, the 1024-point signal duration is 24.8ns, and the frequency resolution is about 39.06MHz. If 2-way parallel computation is employed, the computation frequency of the FFT is about 12.4ns computation once.
| Parameters (parameters) | Value taking | Unit (B) |
| Original sampling rate | 4.00E+10 | Sa/s |
| Sampling period | 25 | ps |
| FFT Length | 1024 | Point(s) |
| FFT cycle | 24.8 | ns |
| Resolution ratio | 39.06 | MHz |
TABLE 1
According to the above-described method of uniform channelization, an estimated bandwidth and an estimated center frequency of signal samples are obtained.
Optionally, S102 further includes:
When a signal also exists in the adjacent channel of the channel in which the signal sample is located, an estimated bandwidth and an estimated center frequency are obtained according to the signal in the channel in which the signal sample is located and the adjacent channel.
It will be appreciated that due to the low resolution and presence of chirp and sinusoidal frequency modulation signals, adjacent channels need to be bundled for consideration, and a rough estimate of bandwidth and center frequency is made based on the number of adjacent channels that are continuously occupied. Referring to fig. 2, the upper square waveform is a signal sample, the ordinate is frequency, and the abscissa is time. For example, channel 501, channel 508 and channel 509 are occupied, and since channel 508 and channel 509 are both present and channel 508 and channel 509 are adjacent channels, channel 508 and channel 509 need to be bundled for consideration, i.e., the signals occupy both channel 508 and channel 509. For example, the FFT is calculated overlapping at a frequency of 1024 points FFT calculated every 12.4ns, with an overlap ratio of 1/2. A time-frequency domain two-dimensional signal distribution as shown in the lower left of fig. 2 is obtained. A rough estimate of the bandwidth of the signals occupying channel 501, channel 508 and channel 509 is obtained in accordance with the principles of power detection. Wherein the bandwidth of the signal occupying channel 501 is about BWs 1=39.06 MHz; the bandwidth of the signals occupying channels 508 and 509 is approximately BWs 2=39.06 MHz 2=78.12 MHz.
Optionally, S103 includes:
And a step a, configuring a corresponding digital down-conversion module according to the estimated bandwidth and the estimated center frequency.
And b, performing digital down-conversion processing on the signal samples by using a digital down-conversion module to obtain zero intermediate frequency signals corresponding to the multipath parallel large-bandwidth signals.
Optionally, the digital down conversion module includes a digitally controlled oscillator, a decimation filter, and a low pass filter.
Optionally, step b includes: mixing the channels where the signal samples are located, and obtaining corresponding in-phase signals and quadrature signals for the channels where each signal sample is located;
And filtering the in-phase signal and the quadrature signal to obtain a zero intermediate frequency signal.
It can be appreciated that fig. 3 is a schematic diagram of still another method for searching a large bandwidth signal, referring to fig. 3, when a signal arrival is detected, a signal x (t) at a time t is formed by sampling to form a high-speed digital signal x (n), and channels where the signal is located are sent to NCO (Numerically Controlled Oscillator, a digitally controlled oscillator) with controllable parameters and local oscillator signals cos (ω 1, n) or sin (ω 1, n) respectively to be mixed, where ω 1 is obtained according to an estimated center frequency, n represents a sequence number of a corresponding signal, and two orthogonal signals I (n) and Q (n) are generated after mixing, but at this time, the data sampling rate is too high, and in order to obtain a baseband signal with a low sampling rate which is easy to process, I (n) and Q (n) are sent to an extraction filter bank with a bandwidth being the channel width to be subjected to a downsampling rate; and based on the estimated signal duration in the time domain, closing down-conversion processing of the channel where the signal is located when the signal is detected to be ended, and finally obtaining samples of each signal, namely a baseband signal. The specific design scheme of the decimation filter bank is that the first-stage FIR (Finite Impulse Response ) low-pass filter rate is the same as the data flow rate of the previous stage, the sampling rate from the second stage to the next-to-last stage FIR low-pass filter is half of the sampling rate of the previous stage, the last-time filter is a variable bandwidth filter, and parameters of the selected FIR low-pass filter are controlled based on NCO; the decimation filter can be CIC (Cascaded Integrator-Comb) decimation filter and HB (halof-Band) decimation filter
By way of example, the first stage FIR low pass filter rate is 40GSa/s as the last stage data flow rate, so the FIR low pass filter sampling rate corresponding to the I/Q (n) path is 40GSa/s, and the passband cutoff frequency is 8GHz; the sampling rate of the second-stage FIR low-pass filter is half of the sampling rate of the upper stage and is 20Gsa/s, and the passband cutoff frequency is 4GHz; the third-stage FIR low-pass filter has a sampling rate of 10Gsa/s which is half of the sampling rate of the previous stage, and the passband cut-off frequency of the third-stage FIR low-pass filter is 2GHz; the fourth-stage FIR low-pass filter has a sampling rate of 5Gsa/s which is half of the sampling rate of the previous stage, and a passband cutoff frequency of 1GHz. Four cascaded FIR low-pass filters provided a 2GHz bandwidth, with a total 16-fold decimation, with a data rate down to 2.5GSa/s. And then, finishing signal extraction and further data extraction according to FIR low-pass filters with corresponding numbers on the roughly estimated bandwidth cascade. And according to different channel bandwidths, designing a variable bandwidth FIR low-pass filter to complete filtering. The optional FIR low-pass filter parameters are shown in table 2.
TABLE 2
It should be noted that, since the processing object of the present invention is a signal sample that exists at the same time, the number of signal receiving channels after separation in fig. 2 may be multiple. The final result is a multi-channel filter bank with variable bandwidth. And outputting one path of signal output by each decimation filter group correspondingly to obtain the baseband signal of each path of signal.
In the technical scheme, the analog-to-digital converter is utilized to sample multiple paths of parallel large-bandwidth signals to obtain signal samples; obtaining an estimated bandwidth and an estimated center frequency of a signal sample according to the channelized analysis; and carrying out digital down-conversion processing on the signal samples according to the estimated bandwidth and the estimated center frequency to obtain zero intermediate frequency signals corresponding to the multipath parallel large bandwidth signals. According to the technical scheme, the analog-digital converter is utilized to process the signals, the channelized analysis is utilized to estimate the signals, the real-time search is effectively carried out on the multipath parallel large-bandwidth signals, the priori knowledge of the signals is not required to be acquired in advance, the digital down-conversion is utilized to separate the multipath parallel signals in the large bandwidth, and the problems of long time consumption and high resource consumption of the multipath parallel large-bandwidth signal analysis are solved.
Fig. 4 is a block diagram of a large bandwidth signal searching apparatus according to an exemplary embodiment, as shown in fig. 4, the apparatus 400 includes.
The sampling module 401 is configured to sample multiple parallel large bandwidth signals by using an analog-to-digital converter, so as to obtain signal samples;
an estimation module 402, configured to obtain an estimated bandwidth and an estimated center frequency of the signal samples according to the channelization analysis;
And the processing module 403 is configured to perform digital down-conversion processing on the signal samples according to the estimated bandwidth and the estimated center frequency, so as to obtain zero intermediate frequency signals corresponding to multiple parallel large bandwidth signals.
The specific manner in which the various modules perform the operations in the apparatus of the above embodiments have been described in detail in connection with the embodiments of the method, and will not be described in detail herein.
The preferred embodiments of the present invention have been described in detail above with reference to the accompanying drawings, but the present invention is not limited to the specific details of the above embodiments, and various simple modifications can be made to the technical solution of the present invention within the scope of the technical concept of the present invention, and all the simple modifications belong to the protection scope of the present invention.
In addition, the specific features described in the above embodiments may be combined in any suitable manner, and in order to avoid unnecessary repetition, various possible combinations are not described further.
Moreover, any combination of the various embodiments of the invention can be made without departing from the spirit of the invention, which should also be considered as disclosed herein.
Claims (8)
1. A method for searching for a large bandwidth signal, the method comprising:
sampling the multipath parallel large bandwidth signals by using an analog-to-digital converter to obtain signal samples;
obtaining an estimated bandwidth and an estimated center frequency of the signal sample according to the channelized analysis;
and performing digital down-conversion processing on the signal samples according to the estimated bandwidth and the estimated center frequency to obtain zero intermediate frequency signals corresponding to the multipath parallel large bandwidth signals.
2. The method for searching for a large bandwidth signal according to claim 1, wherein the sampling the multiple parallel large bandwidth signals with the analog-to-digital converter to obtain signal samples comprises:
processing the multipath parallel large bandwidth signals by using the analog-to-digital converter to obtain serial output signals;
And processing the serial output signal by using a field programmable gate array to obtain the signal sample.
3. The method of claim 1, wherein obtaining the estimated bandwidth and the estimated center frequency of the signal samples based on the channelization analysis comprises:
carrying out channelizing treatment on the signal samples by utilizing short-time Fourier transformation to obtain the treated signal samples;
and after the processed signal samples are arranged according to the channel sequence, performing edge detection to obtain the estimated bandwidth and the estimated center frequency.
4. A method of searching for large bandwidth signals according to claim 3, said method further comprising:
And when the signal is also present in the adjacent channel of the channel in which the signal sample is located, obtaining the estimated bandwidth and the estimated center frequency according to the channel in which the signal sample is located and the signal in the adjacent channel.
5. The method for searching for a large bandwidth signal according to claim 1, wherein the performing digital down-conversion processing on the signal samples according to the estimated bandwidth and the estimated center frequency to obtain zero intermediate frequency signals corresponding to the multiple parallel large bandwidth signals includes:
configuring a corresponding digital down-conversion module according to the estimated bandwidth and the estimated center frequency;
And performing digital down-conversion processing on the signal samples by using the digital down-conversion module to obtain zero intermediate frequency signals corresponding to the multipath parallel large-bandwidth signals.
6. The method for searching for a large bandwidth signal according to claim 5, wherein the performing digital down-conversion processing on the signal samples by using the digital down-conversion module to obtain zero intermediate frequency signals corresponding to the multiple parallel large bandwidth signals includes:
Mixing the channels where the signal samples are located, and obtaining corresponding in-phase signals and quadrature signals for the channels where each signal sample is located;
And filtering the in-phase signal and the quadrature signal to obtain the zero intermediate frequency signal.
7. The method of claim 5, wherein the digital down conversion module comprises a digitally controlled oscillator, a decimation filter, and a low pass filter.
8. A large bandwidth signal searching apparatus, the apparatus comprising:
The sampling module is used for sampling the multipath parallel large-bandwidth signals by utilizing the analog-to-digital converter to obtain signal samples;
the estimation module is used for obtaining the estimated bandwidth and the estimated center frequency of the signal sample according to the channelized analysis;
And the processing module is used for carrying out digital down-conversion processing on the signal samples according to the estimated bandwidth and the estimated center frequency to obtain zero intermediate frequency signals corresponding to the multipath parallel large bandwidth signals.
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