CN112213748A - BOC signal capturing method, signal receiver and signal capturing system - Google Patents
BOC signal capturing method, signal receiver and signal capturing system Download PDFInfo
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Abstract
The application provides a BOC signal capturing method, a signal receiver and a signal capturing system. The method comprises the following steps: receiving BOC intermediate frequency signals in a capture channel; carrying out carrier stripping on the BOC intermediate frequency signal; performing correlation operation on the BOC intermediate frequency signal after carrier stripping and two types of pseudo-random noise codes to obtain a first autocorrelation function and a cross-correlation function; reconstructing a second autocorrelation function having the edge peaks removed based on the first autocorrelation function and the cross-correlation function. The second autocorrelation function has a good effect of eliminating the side peak, and the method is simple, low in implementation difficulty and widely applicable to capture of various BOC modulation signals.
Description
Technical Field
The application relates to the technical field of satellite navigation and positioning, in particular to a BOC signal capturing method, a signal receiver and a signal capturing system.
Background
The BOC (Binary offset carrier) modulation is based on the original BPSK-R (Binary Phase Shift Keying) modulation, and a Binary subcarrier is added to perform secondary spreading on the BPSK-R signal. The modulation method has been widely applied to beidou three, GPS (Global Positioning System) and galileo satellite navigation systems, for example, the modulation method has been used for the B1C signal in beidou three. However, when the time-domain correlation operation is performed on the spectrum split of the BOC modulation signal, a main peak and a plurality of sub-peaks appear, which seriously affects the accuracy of BOC modulation signal capture. The existing correlation peak ambiguity suppression algorithm is generally high in complexity and cannot effectively solve the problem of side peaks of an autocorrelation function of a BOC modulation signal.
Disclosure of Invention
An object of the embodiments of the present application is to provide a BOC signal capturing method, a signal receiver, and a signal capturing system, so as to improve the problem that "the existing correlation peak ambiguity suppression algorithm is generally high in complexity, and cannot effectively solve the side peak problem of the autocorrelation function of a BOC modulation signal".
The invention is realized by the following steps:
in a first aspect, an embodiment of the present application provides a BOC signal capturing method, including: receiving BOC intermediate frequency signals in a capture channel; carrying out carrier stripping on the BOC intermediate frequency signal; performing correlation operation on the BOC intermediate frequency signal after carrier stripping and two types of pseudo-random noise codes to obtain a first autocorrelation function and a cross-correlation function; reconstructing a second autocorrelation function having the edge peaks removed based on the first autocorrelation function and the cross-correlation function.
In the embodiment of the application, a first autocorrelation function and a cross-correlation function are obtained by performing correlation operation on a BOC intermediate frequency signal after carrier stripping and two types of pseudo-random noise codes, and then a second autocorrelation function is reconstructed based on the first autocorrelation function and the cross-correlation function. The second autocorrelation function has a good effect of eliminating the side peak, and the method is simple, low in implementation difficulty and widely applicable to capture of various BOC modulation signals.
With reference to the technical solution provided by the first aspect, in some possible implementation manners, the carrier stripping the BOC intermediate frequency signal includes: acquiring two paths of same-direction signals generated by a local carrier digital oscillator and two paths of orthogonal signals generated by the local carrier digital oscillator; and multiplying the BOC intermediate frequency signal by the two paths of same-direction signals and the two paths of orthogonal signals respectively, and carrying out carrier stripping to obtain four paths of carrier stripped BOC intermediate frequency signals.
In the embodiment of the application, four paths of BOC intermediate frequency signals stripped from the carrier are finally obtained through two paths of orthogonal signals and two paths of same-direction signals generated by the local carrier digital oscillator, so that the four paths of BOC intermediate frequency signals stripped from the carrier are conveniently divided into two groups of signals to be respectively subjected to correlation operation with two types of pseudo-random noise codes.
With reference to the technical solution provided by the first aspect, in some possible implementation manners, the performing correlation operation on the BOC intermediate frequency signal after carrier stripping and two types of pseudo random noise codes to obtain a first autocorrelation function and a cross-correlation function includes: performing correlation operation on the BOC intermediate frequency signals stripped from the first group of carriers and a first pseudo-random noise code to obtain a first autocorrelation function; the BOC intermediate frequency signals after the first group of carrier strips comprise a signal obtained by multiplying a path of same-direction signals by the BOC intermediate frequency signals and a signal obtained by multiplying a path of orthogonal signals by the BOC intermediate frequency signals; the first pseudo-random noise code is modulated by subcarrier square waves; performing correlation operation on the BOC intermediate frequency signal stripped by the second group of carriers and the second type of pseudo-random noise code to obtain a cross-correlation function; the BOC intermediate frequency signals after the second group of carriers are stripped comprise signals obtained by multiplying another path of cocurrent signals by the BOC intermediate frequency signals and signals obtained by multiplying another path of orthogonal signals by the BOC intermediate frequency signals; the second type of pseudo-random noise code is not modulated by a subcarrier square wave.
In the embodiment of the application, two groups of BOC intermediate frequency signals after carrier stripping are respectively subjected to correlation operation with different types of pseudo-random noise codes, so that the subsequent reconstruction of the second autocorrelation function is facilitated.
With reference to the technical solution provided by the first aspect, in some possible implementation manners, the performing a correlation operation on the BOC intermediate frequency signal stripped from the first group of carriers and the first pseudo random noise code to obtain the first autocorrelation function includes: multiplying the BOC intermediate frequency signals after the first group of carriers are stripped by the first pseudo-random noise code, performing fast Fourier transform on the multiplied result, and performing coherent integration on the fast Fourier transform result to obtain the first autocorrelation function; correspondingly, the performing a correlation operation on the BOC intermediate frequency signal stripped by the second group of carriers and the second pseudo random noise code to obtain the cross-correlation function includes: and multiplying the BOC intermediate frequency signal stripped by the second group of carrier waves by the second pseudo-random noise code, performing fast Fourier transform on the multiplied result, and performing coherent integration on the fast Fourier transform result to obtain the cross-correlation function.
With reference to the technical solution provided by the first aspect, in some possible implementation manners, the multiplying the BOC intermediate frequency signal stripped from the first group of carriers by the first pseudo random noise code, performing fast fourier transform on a result of the multiplication, and performing coherent integration on a result of the fast fourier transform to obtain the first autocorrelation function includes: multiplying the BOC intermediate frequency signal stripped from the first group of carriers by the first pseudo-random noise code; configuring a packing time length based on the fast Fourier transform frequency resolution and the Doppler frequency offset search range to pack data of the multiplication result; performing fast Fourier transform on the data packing result, and performing coherent integration on the result of the fast Fourier transform to obtain the first autocorrelation function; correspondingly, the multiplying the BOC intermediate frequency signal stripped by the second group of carriers by the second pseudo random noise code, performing fast fourier transform on the multiplied result, and performing coherent integration on the result of the fast fourier transform to obtain the cross-correlation function includes: multiplying the BOC intermediate frequency signal stripped from the second group of carriers by the second pseudo-random noise code; configuring a packing time length based on the fast Fourier transform frequency resolution and the Doppler frequency offset search range to pack data of the multiplication result; and carrying out fast Fourier transform on the data packing result, and carrying out coherent integration on the result of the fast Fourier transform to obtain the cross-correlation function.
In the embodiment of the application, before the multiplication result is subjected to fast Fourier transform, the multiplication result of the BOC intermediate frequency signal subjected to carrier stripping and the pseudo-random noise code is subjected to data packing based on the fast Fourier transform frequency resolution and the packing time length configured in the Doppler frequency offset search range, so that the calculation amount of the fast Fourier transform is reduced, and the signal processing speed is improved.
With reference to the technical solution provided by the first aspect, in some possible implementations, the reconstructing, based on the first autocorrelation function and the cross-correlation function, a second autocorrelation function from which an edge peak has been removed includes: subtracting the square of the first autocorrelation function by the product of the square of the cross-correlation function and a correction parameter; and performing non-coherent integration on the difference value, and reconstructing the second autocorrelation function with the edge peaks eliminated.
In the embodiment of the application, the correction parameter is obtained by subtracting the product of the square of the cross-correlation function and the correction parameter from the square of the first autocorrelation function; and performing non-coherent integration on the difference value, and reconstructing the second autocorrelation function with the edge peaks eliminated. Firstly, a second autocorrelation function with a good effect of eliminating side peaks can be obtained, and secondly, weak signals can be conveniently captured through non-coherent integration.
With reference to the technical solution provided by the first aspect, in some possible implementation manners, after the carrier stripping is performed on the BOC intermediate frequency signal, the method further includes: reducing the frequency of the BOC intermediate frequency signal after the carrier stripping by taking a half chip as a period; correspondingly, the correlation operation is performed on the BOC intermediate frequency signal after carrier stripping and two types of pseudo random noise codes to obtain a first autocorrelation function and a cross-correlation function, and the method includes: and carrying out correlation operation on the BOC intermediate frequency signal subjected to the carrier stripping after the frequency reduction and two types of pseudo-random noise codes to obtain the first autocorrelation function and the cross-correlation function.
In the embodiment of the present application, the frequency of the BOC intermediate frequency signal after carrier stripping is reduced by taking a half chip as a period, that is, data down-sampling is performed on the BOC intermediate frequency signal after carrier stripping. By the method, the calculation amount of the subsequent signal processing process is reduced.
In a second aspect, an embodiment of the present application further provides a signal receiver, including: a processor and a memory, the processor and the memory connected; the memory is used for storing programs; the processor is configured to execute the program stored in the memory to perform the method as provided in the above-described first aspect embodiment and/or in combination with some possible implementations of the above-described first aspect embodiment.
In a third aspect, embodiments of the present application provide a storage medium, on which a computer program is stored, where the computer program, when executed by a processor, performs the method as described in the foregoing first aspect embodiment and/or provided in combination with some possible implementations of the foregoing first aspect embodiment.
In a fourth aspect, an embodiment of the present application provides a signal acquisition system, including the signal receiver as provided in the second aspect, and a terminal device, where the terminal device is communicatively connected to the signal receiver; the terminal equipment is used for sending a first switching instruction to the signal receiver after acquiring a capturing result sent by the signal receiver so that the signal receiver switches a capturing channel based on the first switching instruction; wherein the capture result comprises BOC signal capture success or BOC signal capture failure.
With reference to the technical solution provided by the fourth aspect, in some possible implementation manners, the terminal device is further configured to acquire a capturing duration of the signal receiver, and send a second switching instruction to the signal receiver when the capturing duration exceeds a preset threshold, so that the signal receiver switches a capturing channel based on the second switching instruction.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
Fig. 1 is a block diagram of a signal receiver according to an embodiment of the present disclosure.
Fig. 2 is a flowchart illustrating steps of a BOC signal acquisition method according to an embodiment of the present disclosure.
Fig. 3 is a schematic diagram including a first autocorrelation function, a second autocorrelation function, and a cross-correlation function according to an embodiment of the present application.
Fig. 4 is a structure of a signal acquisition system according to an embodiment of the present application.
Icon: 100-a signal receiver; 110-a processor; 120-a memory; 10-a signal acquisition system; 200-terminal equipment.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
Please refer to fig. 1, which is a block diagram illustrating a signal receiver applying a BOC signal acquisition method according to an embodiment of the present application. The signal receiver is mainly used for capturing the B1C signal in the Beidou III (the B1C signal is modulated by BOC, namely the signal receiver captures the BOC modulated signal to further capture the B1C signal in the BOC modulated signal). Structurally, signal receiver 100 may include a processor 110 and a memory 120.
The processor 110 and the memory 120 are electrically connected directly or indirectly to enable data transmission or interaction, for example, the components may be electrically connected to each other via one or more communication buses or signal lines. The processor 110 is configured to execute executable modules stored in the memory 120, such as software functional modules and computer programs included in the signal receiver, so as to implement the BOC signal acquisition method. The processor 110 may execute the computer program upon receiving the execution instruction.
The processor 110 may be an integrated circuit chip having signal processing capabilities. The Processor 110 may also be a general-purpose Processor, such as an FPGA (Field Programmable Gate Array) chip, a Central Processing Unit (CPU), a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a discrete Gate or transistor logic device, and a discrete hardware component, which can implement or execute the methods, steps, and logic blocks disclosed in the embodiments of the present Application. Further, a general purpose processor may be a microprocessor or any conventional processor or the like.
The Memory 120 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Programmable Read-Only Memory (EPROM), and an electrically Erasable Programmable Read-Only Memory (EEPROM). The memory 120 is used for storing a program, and the processor 110 executes the program after receiving the execution instruction.
It should be understood that the structure shown in fig. 1 is merely illustrative, and the signal receiver 100 provided in the embodiments of the present application may have fewer or more components than those shown in fig. 1, or may have a different configuration than that shown in fig. 1. Further, the components shown in fig. 1 may be implemented by software, hardware, or a combination thereof.
Referring to fig. 2, fig. 2 is a flowchart illustrating steps of a BOC signal acquisition method according to an embodiment of the present disclosure, which is applied to the signal receiver 100 shown in fig. 1. It should be noted that the BOC signal capturing method provided in the embodiment of the present application is not limited to the order shown in fig. 2 and below. The method comprises the following steps: step S101-step S104.
Step S101: and receiving the BOC intermediate frequency signal in the capture channel.
The signal receiver captures a BIC-BOC (1, 1) signal of the Beidou satellite through a capture channel, and it needs to be noted that the B1C signal adopts a design scheme of a data branch and a pilot branch, namely, a navigation message is only broadcast on the data branch, and a message is not broadcast on the pilot branch. Because the pilot branch is not modulated, when the pilot branch is designed to capture a baseband circuit, the problem of spectrum spreading caused by navigation message turnover does not need to be considered, and a higher signal-to-noise ratio can be obtained by increasing coherent integration time, so that the accuracy of carrier frequency offset estimation and spread spectrum code phase estimation of the baseband capture circuit can be improved compared with the accuracy of a captured data branch signal by capturing a pilot branch signal. In the Beidou I system, signals of BOC (1, 1) and BOC (6,1) are modulated in a pilot frequency branch in a QMBOC (6,1,4/33) mixing mode, and the ratio of the BOC (1, 1) to the BOC (6,1) power is 29: 4. Therefore, the target signal captured by the baseband capture circuit is mainly the BOC (1, 1) signal of the pilot branch. Further, the intermediate frequency signal is a signal obtained by frequency-converting the high frequency signal, and a process of converting the high frequency signal into the intermediate frequency signal is included before receiving the BOC intermediate frequency signal in the capture channel for stable operation and interference reduction.
The mathematical model of the received complete BOC intermediate frequency signal is as follows:
wherein, in the formula (1), rIF[n]Representing BOC intermediate frequency signals, espRepresenting the pilot branch BOC (6,1) signal, eiqBOC (1, 1) signal, e, representing a pilot branchdRepresenting a data branch. Sampling frequency fs＝1/TSF denotes a discrete frequency, and F ═ n (F)IF+fd)TS。fIFIntermediate frequency, f, generated for the local carrierdIs the intermediate frequency offset. a isspRepresents the received pilot branch BOC (6,1) signal power; c denotes pseudo random noise code power; t represents a time series index; tau is0Representing a pseudo-random noise code offset; a isdRepresenting the received data branch signal power; a isiqRepresents the received pilot branch BOC (1, 1) signal power; etaIF[n]Representing gaussian noise. Since the target signal captured by the baseband capture circuit is mainly a BOC (1, 1) signal of the pilot branch, the embodiment of the present application also focuses on the BOC (1, 1) signal of the pilot branch, so the intermediate frequency received signal can be simplified as follows:
step S102: and carrying out carrier stripping on the BOC intermediate frequency signal.
And after receiving the BOC intermediate frequency signal, carrying out carrier stripping on the BOC intermediate frequency signal. Specifically, the BOC intermediate frequency signal may be carrier stripped by an I/Q (In-phase/Quadrature) signal generated by a local digital oscillator. That is, the I signal represents the in-phase signal and the Q signal represents the quadrature signal. Wherein the phase difference between the I signal and the Q signal is 90 degrees. The specific stripping process is to multiply the BOC intermediate frequency signal by the I signal and the Q signal, respectively. The BOC intermediate frequency signal after carrier stripping includes only doppler frequency offset.
In order to facilitate the subsequent correlation operation between the BOC intermediate frequency signal after carrier stripping and two types of pseudo-random noise codes, in the embodiment of the present application, the carrier stripping is performed on the BOC intermediate frequency signal, including: acquiring two paths of homodromous signals generated by a local carrier digital oscillator and two paths of orthogonal signals generated by the local carrier digital oscillator; and multiplying the BOC intermediate frequency signal by the two paths of same-direction signals and the two paths of orthogonal signals respectively, and carrying out carrier stripping to obtain four paths of carrier stripped BOC intermediate frequency signals. That is, the four carrier stripped BOC intermediate frequency signal formed by this step includes: the signal after the first path of syntropy signal multiplies the BOC intermediate frequency signal, the signal after the first path of orthogonal signal multiplies the BOC intermediate frequency signal, the signal after the second path of syntropy signal multiplies the BOC intermediate frequency signal and the signal after the second path of orthogonal signal multiplies the BOC intermediate frequency signal. Correspondingly, the BOC intermediate frequency signals after carrier stripping may be divided into two groups, where the first group includes a signal obtained by multiplying the first in-phase signal by the BOC intermediate frequency signal and a signal obtained by multiplying the first quadrature signal by the BOC intermediate frequency signal. The second group comprises a signal obtained by multiplying the second path of cocurrent signal by the BOC intermediate frequency signal and a signal obtained by multiplying the second path of orthogonal signal by the BOC intermediate frequency signal. The BOC intermediate frequency signals after the two groups of carrier waves are stripped are convenient for carrying out correlation operation with two types of pseudo-random noise codes respectively in the follow-up process.
The I/Q four-path carrier stripping formula is as follows:
rIF[n]*sin(2πF'n+φ') (3)
rIF[n]*cos(2πF'n+φ') (4)
rIF[n]*sin(2πF'n+φ') (5)
rIF[n]*cos(2πF'n+φ') (6)
the formula (3) is a signal obtained by multiplying a first path of equidirectional signal by a BOC intermediate frequency signal, the formula (4) is a signal obtained by multiplying a first path of orthogonal signal by a BOC intermediate frequency signal, the formula (5) is a signal obtained by multiplying a second path of equidirectional signal by a BOC intermediate frequency signal, and the formula (6) is a signal obtained by multiplying a second path of orthogonal signal by a BOC intermediate frequency signal.
In other embodiments, after one path of BOC intermediate frequency signal is multiplied by the I signal and the Q signal, respectively, to form one path of signal obtained by multiplying the orthogonal signal by the BOC intermediate frequency signal, and one path of signal obtained by multiplying the homodromous signal by the BOC intermediate frequency signal, each path of signal is separately subjected to correlation operation with two types of pseudo random noise codes, which is not limited in this application.
Optionally, in order to reduce the computation amount in the subsequent signal processing process, after the BOC intermediate frequency signal is subjected to carrier stripping, data down-sampling may be performed on the BOC intermediate frequency signal subjected to carrier stripping, where the method includes: and reducing the frequency of the BOC intermediate frequency signal after carrier stripping by taking a half chip as a period. And accumulating the product results by taking chip as a unit according to a pseudorandom noise code chip indication signal to obtain a packing result. Assuming a chip has 16 samples, the packing procedure of the ith packet is as follows:
Di＝IF16i*carrier16i+IF16i+1*carrier16i+1+…+IF16i+15*carrier16i+15
that is, the signal data is integrated over a half chip period. Assume that the sampling frequency is 80Mhz, and the period of B1C a full pseudorandom noise code (PRN) is 10ms, so the data amount of 10ms is 800000 points. After signal data integration, the intermediate frequency signal data frequency can be reduced from 80Mhz to 2.046Mhz, and the data volume of 10ms can be reduced to 20460 points.
Step S103: and carrying out correlation operation on the BOC intermediate frequency signal after carrier stripping and two types of pseudo-random noise codes to obtain a first autocorrelation function and a cross-correlation function.
After step S102, if data down-sampling is performed on the carrier stripped BOC intermediate frequency signal, in this step, correlation operation is performed on the carrier stripped BOC intermediate frequency signal with the reduced frequency and two types of pseudo random noise codes.
It should be noted that the two types of pseudo random noise codes are generated by a local code generator, where the first type of pseudo random noise code is modulated by a subcarrier square wave and the second type of pseudo random noise code is not modulated by the subcarrier square wave (i.e., the second type of pseudo random noise code is not modulated by the subcarrier square wave).
During the correlation operation, the BOC intermediate frequency signal stripped from the first group of carriers in step S102 is correlated with the first pseudo random noise code to obtain a first autocorrelation function RBOC/BOC(ii) a Performing correlation operation on the BOC intermediate frequency signal stripped by the second group of carrier waves and the second pseudo-random noise code to obtain a cross-correlation function RBOC/PRN。
Wherein, the process of the correlation operation specifically comprises: multiplying the BOC intermediate frequency signal after carrier stripping by a pseudo-random noise code, performing Fast Fourier Transform (FFT) on the multiplication result, and performing coherent integration on the result of the FFT. That is, the correlation operation between the stripped BOC intermediate frequency signal of the first group of carriers and the pseudorandom noise code of the first type includes: multiplying BOC intermediate frequency signals after the first group of carriers are stripped by a first pseudo-random noise code, performing fast Fourier transform on the multiplied result, and performing coherent integration on the fast Fourier transform result to obtain a first autocorrelation function RBOC/BOC. The correlation operation between the BOC intermediate-frequency signal stripped by the second group of carriers and the second type of pseudo-random noise codes comprises the following steps: multiplying the BOC intermediate frequency signal stripped by the second group of carrier waves by a second pseudo-random noise code, performing fast Fourier transform on the multiplied result, and performing coherent integration on the fast Fourier transform result to obtain a cross-correlation function RBOC/PRN。
The BOC intermediate frequency signal after the first group of carrier waves are stripped and a first pseudo-random noise code are multiplied by the formula as follows:
in formulae (7) and (8), eiqA pseudo-random noise code generated for a local code generator. f. ofsubIs the subcarrier frequency.
The formula for multiplying the BOC intermediate frequency signal stripped from the second group of carriers by the second pseudo-random noise code is as follows:
the formula of coherent integration is as follows:
in equations (11) and (12), K is the coherent integration time unit segment and K is the total coherent integration length. The expressions (11) and (12) are a pair
And
coherent integration is performed. The same can be obtained
And
coherent integration of (2).
Optionally, in order to reduce the computation amount of the fast fourier transform, before performing the fast fourier transform on the multiplication result, the data packing may be performed on the multiplication result of the carrier stripped BOC intermediate frequency signal and the pseudo random noise code. In the embodiment of the application, the data packing is performed based on the packing time configured by the fast fourier transform frequency resolution and the doppler frequency offset search range. The above packing process is described with reference to specific formulas.
In the above formula (13), X represents a data packing duration of the BOC intermediate frequency signal of carrier stripping; fPRNRepresenting a pseudo-random noise code rate; Δ f represents the fourier transform frequency resolution; n denotes the number of fast fourier transform points.
According to the Beidou I-III space signal interface control file (ICD), the pseudo-random noise code length N is knownPRN10230 and the pseudo-random noise code rate is 1.023 Mcps. Then the cycle of the pseudorandom noise code of the BIC is 10230/1.023Mcps ═ 10 ms; at least 10ms of data is required to capture the BIC signal. Therefore, Δ f is 1/10ms 100 Hz.
In simulation, the doppler frequency offset search range is-10 KHz to +10KHz, that is, the search range is 20KHz, and the number of fast fourier transform points N is the doppler frequency offset search range/Δ f is 20KHz/100Hz is 200. In order to avoid spectrum leakage, the number N of fft points is an index of 2, and then an index of 2 closest to 200 is taken, so that N is 256.
After obtaining the Fourier transform frequency resolution delta F and the fast Fourier transform point number N, the pseudo random noise code rate F can be obtainedPRNCalculating the packing time length
And finally, carrying out data packing on the multiplication result based on the packing time length, and if continuing to integrate the multiplication result in the packing time length. By the method, the operation amount of the subsequent processing process is further reduced.
That is, the complete process of the correlation operation between the stripped BOC intermediate frequency signal of the first group of carriers and the pseudorandom noise code of the first type includes: multiplying the BOC intermediate frequency signal stripped from the first group of carriers by a first pseudo-random noise code; configuring a packing time length based on the fast Fourier transform frequency resolution and the Doppler frequency offset search range to pack data of the multiplication result; carrying out fast Fourier transform on the data packing result, and carrying out coherent integration on the result of the fast Fourier transform to obtain a first autocorrelation function RBOC/BOC. The complete process of the correlation operation of the second group of carrier stripped BOC intermediate frequency signals and the second type pseudo random noise codes comprises the following steps: multiplying the BOC intermediate frequency signal stripped from the second group of carriers by a second pseudo-random noise code; configuring a packing time length based on the fast Fourier transform frequency resolution and the Doppler frequency offset search range to pack data of the multiplication result; carrying out fast Fourier transform on the data packing result, and carrying out coherent integration on the result of the fast Fourier transform to obtain the cross-correlation function RBOC/PRN。
Step S104: reconstructing a second autocorrelation function having the edge peaks removed based on the first autocorrelation function and the cross-correlation function.
Wherein, based on the first autocorrelation function and the cross-correlation function, reconstructing the second autocorrelation function from which the edge peak has been removed may be to subtract the square of the first autocorrelation function by the product of the square of the cross-correlation function and the correction parameter, and thereby reconstruct the second autocorrelation function from which the edge peak has been removed. The specific formula is as follows:
wherein R represents a second autocorrelation function; rBOC/BOC(τ) represents the first autocorrelation function; rBOC/PRN(τ) represents a cross-correlation function; beta represents a correction parameter for adjusting the peak value of the side peak.
As shown in fig. 3, which includes the first autocorrelation function, the second autocorrelation function, and the cross-correlation function, it can be seen that the reconstructed second autocorrelation function edge peaks have been substantially eliminated.
In the embodiment of the present application, in order to capture a weak signal, after subtracting the product of the square of the cross-correlation function and the correction parameter from the square of the first autocorrelation function to obtain a difference, the difference is further subjected to non-coherent integration, so as to reconstruct the second autocorrelation function from which the side peak has been eliminated.
Wherein, the non-coherent integration formula is as follows:
in formula (15)
And
obtained by the formula (11) and the formula (12). Obtaining R by the same methodBOC/BOC。
Referring to fig. 4, based on the same inventive concept, an embodiment of the present application further provides a signal acquisition system 10, including the signal receiver 100 provided in the above embodiment and a terminal device 200 communicatively connected to the signal receiver 100.
The terminal Device 200 may be a Mobile Internet Device (MID), a Personal Computer (PC), or a tablet Computer. The present application is not limited.
Specifically, the terminal device 200 is configured to, after acquiring the acquisition result sent by the signal receiver 100, send a first switching instruction to the signal receiver 100, so that the signal receiver 100 switches the acquisition channel based on the first switching instruction.
And the acquisition result comprises BOC signal acquisition success or BOC signal acquisition failure. That is, regardless of whether the BOC signal of the channel is successfully acquired or not acquired by the signal receiver 100, the acquisition channel is switched so that the signal receiver 100 acquires the BOC signal of the next satellite.
Optionally, the terminal device 200 is further configured to acquire an acquisition duration of the signal receiver 100, and send a second switching instruction to the signal receiver 100 when the acquisition duration exceeds a preset threshold, so that the signal receiver 100 switches an acquisition channel based on the second switching instruction.
It can be understood that, during the acquisition process, a situation of abnormal acquisition may occur in signal receiver 100, for example, signal receiver 100 cannot perform effective acquisition, but is always in the acquisition state, so to avoid a failure of signal receiver 100, when the acquisition duration exceeds a preset threshold, a second switching instruction is sent to signal receiver 100, so that signal receiver 100 switches the acquisition channel based on the second switching instruction.
It should be noted that, as those skilled in the art can clearly understand, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
Based on the same inventive concept, the present application further provides a storage medium, on which a computer program is stored, and when the computer program is executed, the computer program performs the method provided in the foregoing embodiments.
The storage medium may be any available medium that can be accessed by a computer or a data storage device including one or more integrated servers, data centers, and the like. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
In addition, units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
Furthermore, the functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
In this document, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions.
The above description is only an example of the present application and is not intended to limit the scope of the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (10)
1. A BOC signal acquisition method, comprising:
receiving BOC intermediate frequency signals in a capture channel;
carrying out carrier stripping on the BOC intermediate frequency signal;
performing correlation operation on the BOC intermediate frequency signal after carrier stripping and two types of pseudo-random noise codes to obtain a first autocorrelation function and a cross-correlation function;
reconstructing a second autocorrelation function having the edge peaks removed based on the first autocorrelation function and the cross-correlation function.
2. The BOC signal acquisition method according to claim 1, wherein the carrier stripping the BOC intermediate frequency signal comprises:
acquiring two paths of same-direction signals generated by a local carrier digital oscillator and two paths of orthogonal signals generated by the local carrier digital oscillator;
and multiplying the BOC intermediate frequency signal by the two paths of same-direction signals and the two paths of orthogonal signals respectively, and carrying out carrier stripping to obtain four paths of carrier stripped BOC intermediate frequency signals.
3. The BOC signal capturing method according to claim 2, wherein the obtaining a first autocorrelation function and a cross-correlation function by performing a correlation operation on the carrier stripped BOC intermediate frequency signal and two types of pseudo-random noise codes comprises:
performing correlation operation on the BOC intermediate frequency signals stripped from the first group of carriers and a first pseudo-random noise code to obtain a first autocorrelation function; the BOC intermediate frequency signals after the first group of carrier strips comprise a signal obtained by multiplying a path of same-direction signals by the BOC intermediate frequency signals and a signal obtained by multiplying a path of orthogonal signals by the BOC intermediate frequency signals; the first pseudo-random noise code is modulated by subcarrier square waves;
performing correlation operation on the BOC intermediate frequency signal stripped by the second group of carriers and the second type of pseudo-random noise code to obtain a cross-correlation function; the BOC intermediate frequency signals after the second group of carriers are stripped comprise signals obtained by multiplying another path of cocurrent signals by the BOC intermediate frequency signals and signals obtained by multiplying another path of orthogonal signals by the BOC intermediate frequency signals; the second type of pseudo-random noise code is not modulated by a subcarrier square wave.
4. The BOC signal acquisition method according to claim 3, wherein the correlating the stripped BOC intermediate frequency signals with a first pseudo random noise code to obtain the first autocorrelation function comprises:
multiplying the BOC intermediate frequency signals after the first group of carriers are stripped by the first pseudo-random noise code, performing fast Fourier transform on the multiplied result, and performing coherent integration on the fast Fourier transform result to obtain the first autocorrelation function;
correspondingly, the performing a correlation operation on the BOC intermediate frequency signal stripped by the second group of carriers and the second pseudo random noise code to obtain the cross-correlation function includes:
and multiplying the BOC intermediate frequency signal stripped by the second group of carrier waves by the second pseudo-random noise code, performing fast Fourier transform on the multiplied result, and performing coherent integration on the fast Fourier transform result to obtain the cross-correlation function.
5. The BOC signal capturing method according to claim 4, wherein the step of multiplying the BOC intermediate frequency signal stripped from the first group of carriers by the first pseudo random noise code, performing fast fourier transform on the result of the multiplication, and performing coherent integration on the result of the fast fourier transform to obtain the first autocorrelation function comprises:
multiplying the BOC intermediate frequency signal stripped from the first group of carriers by the first pseudo-random noise code; configuring a packing time length based on the fast Fourier transform frequency resolution and the Doppler frequency offset search range to pack data of the multiplication result; performing fast Fourier transform on the data packing result, and performing coherent integration on the result of the fast Fourier transform to obtain the first autocorrelation function;
correspondingly, the multiplying the BOC intermediate frequency signal stripped by the second group of carriers by the second pseudo random noise code, performing fast fourier transform on the multiplied result, and performing coherent integration on the result of the fast fourier transform to obtain the cross-correlation function includes:
multiplying the BOC intermediate frequency signal stripped from the second group of carriers by the second pseudo-random noise code; configuring a packing time length based on the fast Fourier transform frequency resolution and the Doppler frequency offset search range to pack data of the multiplication result; and carrying out fast Fourier transform on the data packing result, and carrying out coherent integration on the result of the fast Fourier transform to obtain the cross-correlation function.
6. The BOC signal acquisition method according to claim 1, wherein reconstructing the second autocorrelation function with the edge peaks removed based on the first autocorrelation function and the cross-correlation function comprises:
subtracting the square of the first autocorrelation function by the product of the square of the cross-correlation function and a correction parameter;
and performing non-coherent integration on the difference value, and reconstructing the second autocorrelation function with the edge peaks eliminated.
7. The BOC signal acquisition method according to claim 1, wherein after the carrier stripping the BOC intermediate frequency signal, the method further comprises:
reducing the frequency of the BOC intermediate frequency signal after the carrier stripping by taking a half chip as a period;
correspondingly, the correlation operation is performed on the BOC intermediate frequency signal after carrier stripping and two types of pseudo random noise codes to obtain a first autocorrelation function and a cross-correlation function, and the method includes:
and carrying out correlation operation on the BOC intermediate frequency signal subjected to the carrier stripping after the frequency reduction and two types of pseudo-random noise codes to obtain the first autocorrelation function and the cross-correlation function.
8. A signal receiver, comprising: a processor and a memory, the processor and the memory connected;
the memory is used for storing programs;
the processor is configured to execute a program stored in the memory to perform the method of any of claims 1-7.
9. A signal acquisition system comprising the signal receiver of claim 8 and a terminal device, the terminal device communicatively coupled to the signal receiver;
the terminal equipment is used for sending a first switching instruction to the signal receiver after acquiring a capturing result sent by the signal receiver so that the signal receiver switches a capturing channel based on the first switching instruction; wherein the capture result comprises BOC signal capture success or BOC signal capture failure.
10. The signal acquisition system according to claim 9, wherein the terminal device is further configured to obtain an acquisition duration of the signal receiver, and send a second switching instruction to the signal receiver when the acquisition duration exceeds a preset threshold, so that the signal receiver switches an acquisition channel based on the second switching instruction.
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