Multi-channel broadband signal splicing reconstruction method and system
By using a multi-channel signal splicing and reconstruction method, the full-band information of broadband signals is recovered using different sampling rates and filtering techniques. This solves the problems of signal distortion and information loss in existing technologies and achieves complete signal reconstruction.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SU ZHOU MEI XING KE JI YOU XIAN GONG SI
- Filing Date
- 2025-12-30
- Publication Date
- 2026-04-17
AI Technical Summary
Existing technologies cannot effectively combine the bandwidth advantage of high-speed channels with the DC/low-frequency accuracy advantage of low-speed channels, resulting in distortion or information loss of broadband signals during acquisition.
A multi-channel broadband signal splicing and reconstruction method is adopted. The signal is acquired at different sampling rates through the first and second sampling channels in the multi-channel signal sampling module. The low-frequency and mid-to-high-frequency signal components are extracted by resampling, low-pass filtering and band-pass filtering respectively. Finally, the signals are spliced and summed directly at the same sampling rate to recover the full-band information of the signal.
It achieves complete restoration of the signal across the entire frequency band, recovering the DC, low-frequency, and mid-to-high-frequency information of the signal, and avoiding signal distortion and information loss.
Smart Images
Figure CN121887191A_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of broadband interleaving acquisition technology, specifically relating to a method and system for splicing and reconstructing multi-channel broadband signals. Background Technology
[0002] In modern scientific research and industrial testing fields, such as oscilloscopes, spectrum analyzers, and RF testing, there is often a need for precise digital acquisition of analog signals with ultra-wide bandwidth. However, a single acquisition channel often faces an inherent technical bottleneck:
[0003] Limitations of high-speed acquisition channels: To achieve extremely high sampling rates and bandwidth, high-speed acquisition channels typically employ AC coupling. This design effectively captures high-frequency details of the signal, but at the cost of filtering out the DC and low-frequency components. This results in signal distortion, failing to reflect the signal's true baseline and slow changing trends, which is unacceptable for applications requiring accurate analysis of the complete DC bias or low-frequency characteristics of the signal.
[0004] Limitations of low-speed acquisition channels: In contrast, acquisition channels specifically designed for precise measurement of DC and low-frequency signals typically employ DC coupling and are equipped with high-resolution analog-to-digital converters (ADCs). These channels can capture low-frequency information of signals very accurately, but their bandwidth is very limited, making it impossible to acquire the high-frequency components of the signal, resulting in the complete loss of details of rapid signal changes.
[0005] Therefore, there is an urgent need for a solution that can combine the bandwidth advantage of high-speed channels with the DC / low-frequency accuracy advantage of low-speed channels to achieve lossless, full-band accurate reconstruction of broadband signals. Summary of the Invention
[0006] The purpose of this invention is to provide a method and system for splicing and reconstructing multi-channel broadband signals.
[0007] To achieve the above objectives, this invention provides a multi-channel broadband signal splicing and reconstruction method for signal analysis in a high-speed serial interface tester. The method includes a signal generator and a digital oscilloscope. The digital oscilloscope comprises a multi-channel signal sampling module, a signal processing module, and a signal splicing module. The multi-channel signal sampling module includes a first sampling channel and a second sampling channel. The signal processing module includes a resampling module, a low-pass filter module, and a band-pass filter module. The signal generator generates the signal under test and feeds it to the multi-channel signal sampling module. The method includes the following steps:
[0008] The first sampling channel in the multi-channel sampling module acquires the measured signal at a first sampling rate to obtain first sampling data;
[0009] The second sampling channel in the multi-channel sampling module samples the signal under test at a second sampling rate to obtain second sampling data, and sends the second sampling data to the bandpass filter module. The first sampling rate is less than the second sampling rate, and the second sampling rate is an integer multiple of the first sampling rate.
[0010] The resampling module resamples the first sampled data according to the second sampling rate to obtain the first resampled data, and sends the first resampled data to the low-pass filter module;
[0011] The low-pass filtering module performs low-pass filtering on the first resampled data to obtain low-frequency or DC signal components, and sends the low-frequency or DC signal components to the signal splicing module.
[0012] The bandpass filtering module performs bandpass filtering on the second sampled data to obtain mid-to-high frequency signal components, and sends the mid-to-high frequency signal components to the signal splicing module;
[0013] The signal splicing module splices the low-frequency or DC signal component and the medium- and high-frequency signal component to obtain a reconstructed signal.
[0014] In some implementations, the resampling module resamples the first sampled data according to a second sampling rate to obtain first resampled data, and further includes:
[0015] The resampling module obtains the resampling factor based on the ratio of the first sampling rate to the second sampling rate;
[0016] The resampling module obtains the number of sampling points inserted in each sampling interval according to the resampling factor;
[0017] The resampling module resamples the first sampled data according to the number of sample points inserted in each sampling interval to obtain the first resampled data.
[0018] In some implementations, the resampling module performs resampling using one of linear interpolation, cubic spline interpolation, or band-limited interpolation.
[0019] In some implementations, the low-pass filter module has a cutoff frequency and is configured to allow signal components of the first resampled data with frequencies lower than the cutoff frequency to pass through.
[0020] In some embodiments, the bandpass filter module has a frequency operating range and is configured to allow signal components in the second channel sampled data within the frequency operating range of the bandpass filter module to pass through;
[0021] The lower limit of the frequency operating range of the bandpass filter module is matched with the cutoff frequency.
[0022] In some embodiments, the signal splicing module splices the low-frequency or DC signal component and the high-frequency signal component to obtain a reconstructed signal, and further includes:
[0023] Obtain the amplitude of the sampling point corresponding to the low-frequency or DC signal component in the time domain, and obtain the amplitude of the sampling point corresponding to the high-frequency signal component in the time domain;
[0024] The signal splicing module adds the amplitudes of the low-frequency or DC signal component and the high-frequency signal component at their corresponding sampling points in the time domain to obtain the reconstructed signal.
[0025] The signal splicing module splices the low-frequency or DC signal component and the high-frequency signal component to obtain a reconstructed signal, and also includes:
[0026] The low-frequency or DC signal component is frequency-domain transformed to obtain the spectrum of the low-frequency or DC signal component, and the high-frequency signal component is frequency-domain transformed to obtain the spectrum of the high-frequency signal component.
[0027] A first window function is applied to the spectrum of the low-frequency or DC signal component to obtain a first spectrum, which includes the amplitude of the low-frequency or DC signal component in the spectrum. A second window function is applied to the spectrum of the high-frequency signal component to obtain a second spectrum, which includes the amplitude of the high-frequency signal component in the spectrum.
[0028] The third spectrum is obtained by adding the amplitude values of the first and second spectra in the spectrum;
[0029] The reconstructed signal is obtained by performing a time-domain transformation on the third spectrum.
[0030] In some implementations, both the low-pass filter module and the band-pass filter module are equiripple FIR filters.
[0031] In some implementations, the multi-channel broadband signal splicing and reconstruction system includes a clock source module that sends coherent clock signals to the first sampling channel and the second sampling channel.
[0032] Secondly, this application also provides a multi-channel broadband signal splicing and reconstruction system, including a multi-channel signal sampling module, a signal processing module, and a signal splicing module. The multi-channel signal sampling module includes a first sampling channel and a second sampling channel. The signal processing module includes a resampling module, a low-pass filtering module, and a band-pass filtering module. When the multi-channel broadband signal splicing and reconstruction system executes the program or the instructions, it implements the multi-channel broadband signal splicing and reconstruction method as described in any of the foregoing embodiments.
[0033] This application provides a multi-channel broadband signal splicing and reconstruction method and system. The method samples the signal under test at different sampling rates using the first and second sampling channels in the multi-channel sampling module, and performs resampling processing to align the sampling points of the data at different sampling rates. Then, a low-pass filter is used to extract low-frequency or DC components, and a band-pass filter is used to extract mid-to-high-frequency components. The components are then directly spliced and summed at the same sampling rate, which can effectively restore the DC, low-frequency, and mid-to-high-frequency information of the original signal and achieve complete restoration of the full frequency band of the signal. Attached Figure Description
[0034] Figure 1 A schematic diagram of a multi-channel broadband signal splicing and reconstruction system provided in one embodiment of this application;
[0035] Figure 2 A flowchart illustrating a multi-channel broadband signal splicing and reconstruction method provided in one embodiment of this application;
[0036] Figure 3 A flowchart illustrating a multi-channel broadband signal splicing and reconstruction method provided in another embodiment of this application;
[0037] Figure 4 A flowchart illustrating a multi-channel broadband signal splicing and reconstruction method provided in another embodiment of this application;
[0038] Figure 5 A flowchart illustrating a multi-channel broadband signal splicing and reconstruction method provided in another embodiment of this application;
[0039] Figure 6 A schematic diagram of a multi-channel broadband signal splicing and reconstruction system provided in another embodiment of this application;
[0040] Figure 7 A flowchart illustrating a multi-channel broadband signal splicing and reconstruction method provided in another embodiment of this application;
[0041] The diagram shows: a multi-channel broadband signal splicing and reconstruction system 100, a multi-channel sampling module 21, a first sampling channel 211, a second sampling channel 212, a signal processing module 22, a resampling module 221, a low-pass filter module 222, a band-pass filter module 223, and a signal splicing module 23. Detailed Implementation
[0042] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0043] Due to insufficient filtering separation and sampling rate matching in existing technologies, the fused signal often exhibits problems such as amplitude discontinuity and spectral abrupt changes, affecting signal quality. While multi-resolution analysis, wavelet transform, or adaptive models can achieve better reconstruction results through multi-channel data fusion, the algorithm structure is complex, computationally intensive, and difficult to implement in engineering, making it unsuitable for real-time or resource-constrained scenarios.
[0044] Figure 1 A schematic diagram of a multi-channel broadband signal splicing and reconstruction system provided in one embodiment of this application.
[0045] Figure 2 This is a flowchart illustrating a multi-channel broadband signal splicing and reconstruction method provided in one embodiment of this application.
[0046] This application further provides a multi-channel broadband signal splicing and reconstruction method for use in a multi-channel broadband signal splicing and reconstruction system 100 to acquire and analyze signals. Please refer to [link to relevant documentation]. Figure 1 The system includes a multi-channel signal sampling module 21, a signal processing module 22, and a signal splicing module 23. The multi-channel signal sampling module 21 includes a first sampling channel 211 and a second sampling channel 212. The signal processing module 22 includes a resampling module 221, a low-pass filter module 222, and a band-pass filter module 223. The multi-channel signal sampling module 21 in the multi-channel broadband signal splicing and reconstruction system 100 acquires the signal under test. The multi-channel broadband signal splicing and reconstruction method provided in this embodiment includes the following steps:
[0047] Step S1: The first sampling channel 211 in the multi-channel sampling module acquires the signal under test at a first sampling rate to obtain the first sampling data;
[0048] In step S2, the second sampling channel 212 in the multi-channel sampling module samples the signal under test at the second sampling rate to obtain the second sampling data, and sends the second sampling data to the bandpass filter module 223. The first sampling rate is less than the second sampling rate, and the second sampling rate is an integer multiple of the first sampling rate.
[0049] Step S3: The resampling module 221 resamples the first sampled data according to the second sampling rate to obtain the first resampled data, and sends the first resampled data to the low-pass filter module 222.
[0050] In step S4, the low-pass filter module 222 performs low-pass filtering on the first resampled data to obtain low-frequency or DC signal components, and sends the low-frequency or DC signal components to the signal splicing module 23.
[0051] Step S5: The bandpass filter module 223 performs bandpass filtering on the second sampled data to obtain the mid-to-high frequency signal components, and sends the mid-to-high frequency signal components to the signal splicing module 23.
[0052] In step S6, the signal splicing module 23 splices the low-frequency or DC signal component and the medium- and high-frequency signal component to obtain the reconstructed signal.
[0053] In this embodiment, the first sampling channel 211 and the second sampling channel 212 in the multi-channel sampling module sample the signal under test at different sampling rates, and perform resampling processing to align the sampling points of the sampled data at different sampling rates. Then, the low-frequency components are extracted by the low-pass filter and the mid-to-high frequency components are extracted by the band-pass filter. The components are then directly spliced and summed at the same sampling rate, which can effectively restore the DC, low-frequency and mid-to-high frequency information of the original signal and realize the complete restoration of the full frequency band of the signal.
[0054] Specifically, in this embodiment, the first sampling channel uses a lower first sampling rate. The measured signal is acquired to obtain the first sampled data. The sampling rate can be 2 kS / s. Preferably, the first sampling channel is a DC-coupled channel to ensure accurate capture of the DC and low-frequency information of the measured signal. The second sampling channel uses a sampling rate much higher than the first sampling rate. The measured signal is acquired to obtain the second sampled data. It can be 200 MS / s. Preferably, the second sampling channel is an AC-coupled channel to accommodate an extremely wide signal bandwidth.
[0055] Figure 3 This is a flowchart illustrating a multi-channel broadband signal splicing and reconstruction method provided in another embodiment of this application.
[0056] In some implementations, refer to Figure 3 The resampling module 221 resamples the first sampled data according to the second sampling rate to obtain the first resampled data, and also includes:
[0057] Step S21: The resampling module 221 obtains the resampling factor based on the ratio of the first sampling rate and the second sampling rate;
[0058] Step S22: The resampling module 221 obtains the number of sampling points inserted in each sampling interval according to the resampling factor;
[0059] Step S23: Resample the first sampled data according to the number of sampling points inserted in each sampling interval to obtain the first resampled data.
[0060] In this embodiment, the resampling ratio is obtained by the ratio of the first sampling rate and the second sampling rate, thereby obtaining the number of sampling points inserted in each sampling interval on the same time axis, so that the sampling points of the first and second collected data are aligned on the same time axis, which facilitates subsequent splicing and reconstruction.
[0061] Specifically, in this embodiment, the resampling factor is The specific calculation formula is as follows:
[0062] ;
[0063] In some implementations, the resampling module 221 performs resampling using one of the following methods: linear interpolation, cubic spline interpolation, or band-limited interpolation. Among these, band-limited interpolation involves a large amount of computation, provides the highest signal fidelity, but also places higher demands on system hardware; linear interpolation involves less computation, provides lower signal fidelity, and places lower demands on system hardware. The resampling method can be flexibly selected based on the requirements for signal reconstruction fidelity and system hardware requirements.
[0064] In some implementations, the low-pass filter module 222 has a cutoff frequency and is configured to allow signal components of the first resampled data with frequencies lower than the cutoff frequency to pass through;
[0065] The bandpass filter module 223 has a frequency operating range and is configured to allow components of the second channel sampled data that are within the frequency operating range of the bandpass filter module 223 to pass through.
[0066] The lower limit of the frequency operating range of the bandpass filter module 223 is matched with the cutoff frequency.
[0067] In this embodiment, the low-pass filter module 222 processes the first resampled data through the cutoff frequency, filters out the high-frequency noise introduced by resampling, and extracts the DC or low-frequency components, thereby obtaining the low-frequency or DC signal components; at the same time, the band-pass filter module 223 processes the received second sampled data, filters out the low-frequency or DC components distorted by AC coupling and out-of-band noise through the frequency operating range matched with the cutoff frequency, and obtains the mid-to-high frequency signal components.
[0068] In some embodiments, both the low-pass filter module 222 and the band-pass filter module 223 are equiripple FIR filters. Specifically, the low-pass filter module 222 has a cutoff frequency of 60MHz, allowing components with frequencies below 60MHz to pass through; the band-pass filter module 223 operates in a frequency range between 60MHz and 18GHz, allowing signals between 60MHz and 18GHz to pass through without loss. The band-pass filter module 223 has a first stopband cutoff frequency, a first passband cutoff frequency, a second passband cutoff frequency, a second stopband cutoff frequency, a first stopband attenuation, a second stopband attenuation, and passband ripple. The first stopband cutoff frequency is 10MHz, attenuating signals with frequencies below 10MHz; the first passband cutoff frequency is 60MHz, allowing signals above 60MHz to pass through; the second passband cutoff frequency... The bandpass filter module 223 has a frequency of 18 GHz, allowing signals below 18 GHz to pass through; the second stopband cutoff frequency is 18.05 GHz, and the bandpass filter module 223 strongly attenuates signals above 18.05 GHz; the first stopband attenuation is 80 dB, determining the attenuation capability of the bandpass filter 223 for signals below 10 MHz; the second stopband attenuation is 80 dB, determining the attenuation capability of the bandpass filter 223 for signals above 18.05 MHz; the passband ripple is 0 dB, ensuring that the frequency response within the bandpass filter 223 is perfectly flat, an ideal situation. The attenuation capability ensures that the frequency responses of the two filters are perfectly complementary near the cutoff frequency, avoiding distortion in the final synthesized signal. Depending on the composition requirements of the reconstructed signal, other performance parameters for the low-pass filter module 222 and the bandpass filter module 223 can also be selected; this application does not impose any restrictions.
[0069] Figure 4 This is a flowchart illustrating a multi-channel broadband signal splicing and reconstruction method provided in another embodiment of this application.
[0070] In some implementations, refer to Figure 4 Step S6, signal splicing module 23 splices low-frequency or DC signal components and high-frequency signal components to obtain a reconstructed signal, and also includes:
[0071] Step S41: Obtain the amplitude of the sampling point corresponding to the low frequency or DC signal component in the time domain, and obtain the amplitude of the sampling point corresponding to the high frequency signal component in the time domain.
[0072] In step S42, the signal splicing module 23 adds the amplitudes of the low-frequency or DC signal component and the high-frequency signal component at the corresponding sampling points in the time domain to obtain the reconstructed signal.
[0073] In this embodiment, both the low-frequency or DC signal component and the mid-to-high-frequency signal component contain the amplitude of the corresponding sampling point in the time domain on the same time axis. The signal splicing module 23 directly adds the amplitudes of the two signal components at the corresponding sampling points in the time domain to obtain a smooth and distortion-free reconstructed signal.
[0074] Specifically, in this embodiment, the low-frequency or DC signal component is... The high-frequency signal component is The reconstructed signal is obtained by summing the signals. The calculation formula is as follows:
[0075] ;
[0076] in, This is a sequence of sampling points.
[0077] Figure 5 This is a flowchart illustrating a multi-channel broadband signal splicing and reconstruction method provided in another embodiment of this application.
[0078] In some implementations, refer to Figure 5 Step S6, signal splicing module 23 splices low-frequency or DC signal components and high-frequency signal components to obtain a reconstructed signal, and also includes:
[0079] Step S71: Perform frequency domain transformation on the low-frequency or DC signal component to obtain the spectrum of the low-frequency or DC signal component, and perform frequency domain transformation on the high-frequency signal component to obtain the spectrum of the high-frequency signal component.
[0080] Step S72: Apply a first window function to the spectrum of the low-frequency or DC signal component to obtain a first spectrum, the first spectrum containing the amplitude of the low-frequency or DC signal component in the spectrum; apply a second window function to the spectrum of the high-frequency signal component to obtain a second spectrum, the second spectrum containing the amplitude of the high-frequency signal component in the spectrum.
[0081] Step S73: Add the amplitudes of the first and second spectra in the spectrum to obtain the third spectrum;
[0082] Step S74: Perform time-domain transformation on the third spectrum to obtain the reconstructed signal.
[0083] In this embodiment, the signal splicing module 23 performs signal splicing in the frequency domain. It performs frequency domain conversion on the received low-frequency or DC signal components and mid-to-high-frequency signal components to obtain the spectrum of the low-frequency or DC signal components and the spectrum of the mid-to-high-frequency signal components. It then uses a first window function and a second window function to weight the spectrum of the low-frequency or DC signal components and the spectrum of the mid-to-high-frequency signal components, respectively, so that the summation of the two spectral components achieves a smooth transition in the cutoff frequency region, thereby avoiding distortion caused by direct splicing of the spectrum.
[0084] Specifically, the frequency domain conversion algorithm is either Fourier transform or fast Fourier transform. For discrete sampled data, the discrete Fourier algorithm can also be used, and this application does not impose any restrictions on this. The time domain conversion algorithm is inverse Fourier transform, but other time domain conversion algorithms are also possible.
[0085] In this embodiment, a cross-frequency region is defined based on the cutoff frequency. ,in For the transition start frequency, The transition end frequency is at which the cutoff frequency is located. Between. Apply the first window function to the spectrum of low-frequency or DC signal components. Weighting is applied, and the function is applied at frequencies below [a certain value]. The time value is 1, at frequencies higher than The value is 0 at time 2, and in Within the region, the signal smoothly decreases from 1 to 0; a second window function is applied to the spectrum of mid-to-high frequency signal components. Weighting is applied, and the function is applied at frequencies below [a certain value]. The time value is 0, at frequencies higher than The value is 1 when it is 2, and in The frequency smoothly increases from 0 to 1 within the region. The first and second window functions satisfy the complementarity condition, that is, within the cross-frequency region:
[0086] ;
[0087] Specifically, the first window function and the second window function use a cosine function to achieve cross-complementarity, and the specific formula is as follows:
[0088] ;
[0089] ;
[0090] Figure 6 A schematic diagram of a multi-channel broadband signal splicing and reconstruction system provided in another embodiment of this application.
[0091] In some implementations, such as Figure 6 As shown, the broadband interleaving system acquisition system 100 includes a clock source module 24. The clock source module 24 sends coherent clock signals to the first sampling channel 211 and the second sampling channel 212, providing a unified coherent clock signal for the first sampling channel 211 and the second sampling channel 212. The sampling times of the first sampling channel 211 and the second sampling channel 212 are aligned on the time axis, which facilitates subsequent signal splicing.
[0092] Figure 7 This is a flowchart illustrating a multi-channel broadband signal splicing and reconstruction method provided in another embodiment of this application.
[0093] In some implementations, refer to Figure 1 and Figure 7 The multi-channel broadband signal splicing and reconstruction system 100 includes a multi-channel signal sampling module 21, a signal processing module 22, and a signal splicing module 23. The multi-channel signal sampling module 21 includes a first sampling channel 211 and a second sampling channel 212. The signal processing module 22 includes a resampling module 221, a low-pass filter module 222, and a band-pass filter module 223. The multi-channel broadband signal splicing and reconstruction method includes the following steps:
[0094] In step S501, the first sampling channel 211 in the multi-channel sampling module acquires the signal under test at a first sampling rate to obtain the first sampling data;
[0095] In step S502, the second sampling channel 212 in the multi-channel sampling module samples the signal under test at a second sampling rate to obtain second sampling data, and sends the second sampling data to the bandpass filter module 223. The first sampling rate is less than the second sampling rate, and the second sampling rate is an integer multiple of the first sampling rate.
[0096] In step S503, the resampling module 221 obtains the resampling factor based on the ratio of the first sampling rate to the second sampling rate;
[0097] Step S504: The resampling module 221 obtains the number of sampling points inserted in each sampling interval according to the resampling factor;
[0098] Step S505: Resample the first sampled data according to the number of sampling points inserted in each sampling interval to obtain the first resampled data.
[0099] In step S506, the low-pass filter module 222 performs low-pass filtering on the first resampled data to obtain low-frequency or DC signal components, and sends the low-frequency or DC signal components to the signal splicing module 23.
[0100] In step S507, the bandpass filtering module 223 performs bandpass filtering on the second sampled data to obtain the mid-to-high frequency signal components, and sends the mid-to-high frequency signal components to the signal splicing module 23.
[0101] In step S508, the signal splicing module 23 acquires the amplitude of the sampling point corresponding to the low frequency or DC signal component in the time domain, and acquires the amplitude of the sampling point corresponding to the high frequency signal component in the time domain.
[0102] In step S509, the signal splicing module 23 adds the amplitudes of the low-frequency or DC signal component and the high-frequency signal component at the corresponding sampling points in the time domain to obtain the reconstructed signal.
[0103] This application discloses a multi-channel broadband signal splicing and reconstruction method. The method involves synchronously acquiring the same signal through multiple acquisition channels in the multi-channel signal sampling module 21 at different sampling rates. Then, the low-speed data is interpolated and resampled to match the high-speed sampling rate. The low-frequency and mid-to-high-frequency components of the signal are extracted by the low-pass filter module 222 and the band-pass filter module 223 with complementary cutoff frequencies, respectively. Finally, these two components are seamlessly fused in the time domain or frequency domain to reconstruct a reconstructed signal that contains both accurate DC bias and complete high-frequency details.
[0104] Secondly, this application provides a multi-channel broadband signal splicing and reconstruction system 100, including a multi-channel signal sampling module 21, a signal processing module 22, and a signal splicing module 23. The multi-channel signal sampling module 21 includes a first sampling channel 211 and a second sampling channel 212. The signal processing module 22 includes a resampling module 221, a low-pass filtering module 222, and a band-pass filtering module 223. When the multi-channel broadband signal splicing and reconstruction system 100 executes a program or instruction, it implements the multi-channel broadband signal splicing and reconstruction method as described in any of the foregoing embodiments.
[0105] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.
Claims
1. A method for splicing and reconstructing multi-channel broadband signals, characterized in that, A method for acquiring a test signal in a multi-channel broadband signal splicing and reconstruction system includes a multi-channel signal sampling module, a signal processing module, and a signal splicing module. The multi-channel signal sampling module includes a first sampling channel and a second sampling channel. The signal processing module includes a resampling module, a low-pass filtering module, and a band-pass filtering module. The multi-channel signal sampling module in the multi-channel broadband signal splicing and reconstruction system acquires the test signal. The method includes: The first sampling channel in the multi-channel sampling module acquires the measured signal at a first sampling rate to obtain first sampling data; The second sampling channel in the multi-channel sampling module acquires the measured signal at a second sampling rate to obtain second sampling data, and sends the second sampling data to the bandpass filter module, wherein the first sampling rate is less than the second sampling rate, and the second sampling rate is an integer multiple of the first sampling rate; The resampling module resamples the first sampled data according to the second sampling rate to obtain the first resampled data, and sends the first resampled data to the low-pass filter module; The low-pass filtering module performs low-pass filtering on the first resampled data to obtain low-frequency or DC signal components, and sends the low-frequency or DC signal components to the signal splicing module. The bandpass filtering module performs bandpass filtering on the second sampled data to obtain mid-to-high frequency signal components, and sends the mid-to-high frequency signal components to the signal splicing module; The signal splicing module splices the low-frequency or DC signal component and the medium- and high-frequency signal component to obtain a reconstructed signal.
2. The multi-channel broadband signal splicing and reconstruction method according to claim 1, characterized in that, The resampling module resamples the first sampled data according to the second sampling rate to obtain the first resampled data, and further includes: The resampling module obtains the resampling ratio based on the ratio of the first sampling rate to the second sampling rate; The resampling module obtains the number of sampling points inserted in each sampling interval according to the resampling factor; The resampling module resamples the first sampled data according to the number of sample points inserted in each sampling interval to obtain the first resampled data.
3. The multi-channel broadband signal splicing and reconstruction method according to claim 2, characterized in that, The resampling module performs resampling using one of the following methods: linear interpolation, cubic spline interpolation, or band-limited interpolation.
4. The multi-channel broadband signal splicing and reconstruction method according to claim 3, characterized in that, The low-pass filter module has a cutoff frequency and is configured to allow signal components of the first resampled data with frequencies lower than the cutoff frequency to pass through.
5. The multi-channel broadband signal splicing and reconstruction method according to claim 4, characterized in that, The bandpass filter module has a frequency operating range and is configured to allow signal components in the second channel sampled data within the frequency operating range of the bandpass filter module to pass through. The lower limit of the frequency operating range of the bandpass filter module is matched with the cutoff frequency.
6. The multi-channel broadband signal splicing and reconstruction method according to claim 5, characterized in that, The signal splicing module splices the low-frequency or DC signal component and the high-frequency signal component to obtain the reconstructed signal, including: Obtain the amplitude of the sampling point corresponding to the low-frequency or DC signal component in the time domain, and obtain the amplitude of the sampling point corresponding to the high-frequency signal component in the time domain; The signal splicing module adds the amplitudes of the low-frequency or DC signal component and the high-frequency signal component at corresponding sampling points in the time domain to obtain the reconstructed signal.
7. The multi-channel broadband signal splicing and reconstruction method according to claim 5, characterized in that, The signal splicing module splices the low-frequency or DC signal component and the high-frequency signal component to obtain the reconstructed signal, including: The low-frequency or DC signal component is frequency-domain transformed to obtain the spectrum of the low-frequency or DC signal component, and the high-frequency signal component is frequency-domain transformed to obtain the spectrum of the high-frequency signal component. A first window function is applied to the spectrum of the low-frequency or DC signal component to obtain a first spectrum, which includes the amplitude of the low-frequency or DC signal component in the spectrum. A second window function is applied to the spectrum of the high-frequency signal component to obtain a second spectrum, which includes the amplitude of the high-frequency signal component in the spectrum. The third spectrum is obtained by adding the amplitude values of the first spectrum and the second spectrum in the spectrum; The reconstructed signal is obtained by performing a time-domain transformation on the third spectrum.
8. The multi-channel broadband signal splicing and reconstruction method according to any one of claims 6 or 7, characterized in that, Both the low-pass filter module and the band-pass filter module are equiripple FIR filters.
9. The multi-channel broadband signal splicing and reconstruction method according to claim 1, characterized in that, The multi-channel broadband signal splicing and reconstruction system includes a clock source module, which sends coherent clock signals to the first sampling channel and the second sampling channel.
10. A multi-channel broadband signal splicing and reconstruction system, characterized in that, The system includes a multi-channel signal sampling module, a signal processing module, and a signal splicing module. The multi-channel signal sampling module includes a first sampling channel and a second sampling channel. The signal processing module includes a resampling module, a low-pass filtering module, and a band-pass filtering module. When the multi-channel broadband signal splicing and reconstruction system executes a program or instruction, it implements the multi-channel broadband signal splicing and reconstruction method as described in any one of claims 1 to 9.