CN116015346B - Cascade inhibition-based unbalanced aliasing spread spectrum signal blind separation method - Google Patents
Cascade inhibition-based unbalanced aliasing spread spectrum signal blind separation method Download PDFInfo
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Abstract
The invention discloses a cascade suppression-based unbalanced aliasing spread spectrum signal blind separation method, which comprises the following steps: acquiring multi-beam same-frequency signals of a spread spectrum satellite mobile communication system; synchronous searching processing is carried out on multi-beam same-frequency signals of the spread spectrum satellite mobile communication system, and time slot synchronous detection information and frame synchronous detection information are obtained; dividing a multi-beam same-frequency signal of a spread spectrum satellite mobile communication system into two paths from a frame starting position according to time slot synchronous detection information to obtain a main channel signal and a reference channel signal; processing strong signal data in the main channel signal to obtain a frequency estimated value and an amplitude estimated value; demodulating strong signal data in the reference channel signal to obtain an amplitude phase compensation signal; performing adaptive filtering processing on the main channel signal by using the amplitude phase compensation signal to obtain separated weak signal data; and demodulating the separated weak signal data to obtain demodulation signal information, and realizing the blind separation of the multi-beam same-frequency signals.
Description
Technical Field
The invention relates to the technical field of communication and information systems, in particular to a cascade suppression-based unbalanced aliasing spread spectrum signal blind separation method.
Background
The satellite communication has the advantages of wide coverage, long communication distance, no limitation of geographic conditions, flexible networking and the like, so that the satellite communication becomes an effective supplement of a ground network. In places where the ground network signal coverage is poor, the satellite communication network becomes the best choice for users to achieve interworking. With the rapid development of satellite communication technology, the need for effective supervision of satellite mobile communication is becoming urgent, wherein the first solution is non-cooperative satellite signal processing technology.
The new mobile communication satellite system adopts the advanced technologies of spot beam global cellular coverage, satellite processing, wideband code division multiple access and the like. In the non-cooperative receiving process of the satellite signals, the same-frequency aliasing signals are equivalent to high-power same-frequency broadband noise interference signals, so that the accurate blind separation, processing and analysis of all multi-beam same-frequency signals are very difficult, and a new effective method needs to be found.
Disclosure of Invention
The invention aims to solve the technical problem of providing a cascade suppression-based unbalanced aliasing spread spectrum signal blind separation method which can effectively suppress the same-frequency strong signal by utilizing a self-adaptive time domain interference cancellation technology so as to realize correct separation, processing and analysis of other signals.
In order to solve the technical problems, the embodiment of the invention discloses a cascade suppression-based unbalanced aliasing spread spectrum signal blind separation method, which comprises the following steps:
s1, acquiring multi-beam same-frequency signals of a spread spectrum satellite mobile communication system;
s2, synchronous searching processing is carried out on the multi-beam same-frequency signals of the spread spectrum satellite mobile communication system, and time slot synchronous detection information and frame synchronous detection information are obtained;
s3, dividing the multi-beam same-frequency signal of the spread spectrum satellite mobile communication system into two paths from a frame starting position according to the time slot synchronous detection information and the frame synchronous detection information to obtain a main channel signal and a reference channel signal;
s4, processing the strong signal data in the main channel signal to obtain a frequency estimated value and an amplitude estimated value;
s5, demodulating the strong signal data in the reference channel signal by utilizing the frequency estimation value and the amplitude estimation value to obtain an amplitude phase compensation signal;
s6, performing adaptive filtering processing on the main channel signal by using the amplitude phase compensation signal to obtain separated weak signal data;
and S7, demodulating the separated weak signal data to obtain demodulation signal information, and realizing the blind separation of the multi-beam same-frequency signals.
In an embodiment of the present invention, the performing a synchronous search process on the multi-beam co-frequency signal of the spread spectrum satellite mobile communication system to obtain time slot synchronous detection information and frame synchronous detection information includes:
s21, framing the multi-beam same-frequency signal of the spread spectrum satellite mobile communication system to obtain a plurality of frame signals with frame length of 10 ms;
s22, uniformly dividing frame signals with each frame length of 10ms to obtain 15 time slots;
s23, sliding search is carried out by utilizing a preset main synchronous code sequence, and the starting position of each time slot is determined to obtain time slot synchronous detection information;
s24, according to the time slot synchronous detection information, sliding matching search is carried out by utilizing a preset auxiliary synchronous code sequence, and frame synchronous detection information is obtained.
As an optional implementation manner, in an embodiment of the present invention, the performing a sliding search by using a preset primary synchronization code sequence to determine a starting position of each time slot, to obtain time slot synchronization detection information, includes:
s231, intercepting a data segment S with length of l=5120 from the multi-beam co-channel signal of the spread spectrum satellite mobile communication system 1 ；
S232, pair S 1 Intercepting to obtain intercepted data S 1 (i:M),i＝1；
S233, for intercepted data S 1 (i: M) processing to obtain T 1 (i) The expression is:
T 1 (i)＝abs(sum(S 1 (i:M).*C z ))
where abs () is the absolute value, sum () represents the sum, x represents the point-by-point multiplication of the vector, C z As a preset primary synchronization code sequence, m=256 is the primary synchronization code sequence length;
s234, pair S 1 Cut offTaking out and obtaining intercepted data S 1 (i+1:M+1)；
S235, for intercepted data S 1 Processing (i+1:M+1) to obtain T 1 (i+1) of the formula:
T 1 (i+1)＝abs(sum(S 1 (i+1:M+1).*C z ))
s236, i=i+1, repeating S232, S233, S334, S235 until sliding to S 1 (L-M+ 1:L), T is calculated 1 (L-M+1)；
S237, calculating the vector T 1 A maximum value of (1:L-M+1); and the maximum value corresponding data position is time slot synchronous detection information.
As an optional implementation manner, in an embodiment of the present invention, according to the time slot synchronization detection information, a sliding match search is performed by using a preset secondary synchronization code sequence to obtain frame synchronization detection information, which includes:
s241, obtain secondary synchronization code sequence C k Secondary synchronization code sequence length n=3840, k=1, 2, …,512 represents the kth group of secondary synchronization code sequences;
s242, according to the time slot synchronous detection information, intercepting the data segment S with the length of P=76800 in the multi-beam same-frequency signal of the spread spectrum satellite mobile communication system 2 ；
S243 of S 2 Intercepting to obtain intercepted data S 2 (j:N)，j＝1，S 2 (j: N) and Secondary synchronization code sequence C k Calculating to obtain T 2,1 (j) The formula is:
T 2,1 (j)＝abs(sum(S 2 (j:N).*C k ))
where abs () represents absolute value, sum () represents sum, x represents vector point-by-point multiplication, k=1, 2, …,512;
s244, pair S 2 Intercepting to obtain intercepted data S 2 (j+1: N+1), and secondary synchronization code sequence C k Calculating to obtain T 2,1 (j+1) of the formula:
T 2,1 (j+1)＝abs(sum(S 2 (j+1:N+1).*C k ))
s245, j=j+1, repeat S243, S244 until it slides to S 2 (P-N+ 1:P) calculation to obtain T 2,1 (P-N+1)；
S246, calculating vector T 2,1 Maximum value T of (1:P-N+1) 2,max (k)；
S247, intercept data S 2 (j: N) and Secondary synchronization code sequence C k+1 Calculating to obtain T 2,2 (j) The formula is:
T 2,2 (j)＝abs(sum(S 2 (j+1:N).*C k+1 ))
s248 until sliding to S 2 (P-N+ 1:P), T is calculated 2,2 (1:P-N+1)), vector T is calculated 2,2 Maximum value T of (1:P-N+1) 2,max (k+1)；
S249, k=k+1, repeating S243, S244, S245, S246, S247, S248 until traversing to k=512, obtaining T 2,max (1:512)；
S250, calculating T 2,max Maximum value T of (1:512) 2,max (m),m∈(1,2,…,512),T 2,max The signal data position corresponding to (m) is frame synchronization detection information.
In an embodiment of the present invention, the processing the strong signal data in the main channel signal to obtain a frequency estimation value and an amplitude estimation value includes:
s41, performing frequency estimation on strong signal data in the main channel signal by using a Fourier transform method to obtain a frequency estimation value;
s42, carrying out amplitude estimation on the strong signal data in the main channel signal by using an energy spectrum accumulation method to obtain an amplitude estimation value.
In an embodiment of the present invention, the demodulating the strong signal data in the reference channel signal to obtain an amplitude phase compensation signal includes:
s51, demodulating strong signal data in the reference channel signal to obtain baseband bit data information;
s52, spreading, scrambling and modulating the baseband bit data information to obtain reconstructed signal information;
and S53, performing amplitude phase compensation on the reconstructed signal information by using the frequency estimation value and the amplitude estimation value to obtain an amplitude phase compensation signal.
In an embodiment of the present invention, the adaptive filtering processing is performed on the main channel signal by using the amplitude phase compensation signal to obtain separated weak signal data, where the method includes:
processing by using an adaptive filtering formula to obtain separated weak signal data e (n);
the adaptive filtering formula is as follows:
wherein ω (n) is a 1×m order filter coefficient vector; n=1, 2..is the time variable, T is the transpose, H is the transpose of the conjugate, x represents the conjugate e (n) is the main channel signal, M is the filter order; step size μ (n) is a constant; x is x r (n)＝[x r (n) x r (n-1) ... x r (n-M+1)] T Is an amplitude phase compensation signal.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
(1) The invention provides a multi-beam same-frequency signal blind separation method of a spread spectrum satellite mobile communication system, which realizes the self-adaptive separation of multi-beam same-frequency aliasing signals of a novel mobile communication satellite;
(2) The invention provides technical support for signal receiving processing, data analysis, flow statistics, service monitoring and the like of the novel mobile communication satellite system, and has important significance for improving the supervision capability of the mobile communication satellite system.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a cascade suppression-based unbalanced aliasing spread spectrum signal blind separation method disclosed by the embodiment of the invention;
fig. 2 is a comparison of the results of processing multi-beam co-frequency signals using the method of the present invention with those without the method of the present invention.
Detailed Description
In order to make the present invention better understood by those skilled in the art, the following description will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The terms first, second and the like in the description and in the claims and in the above-described figures are used for distinguishing between different objects and not necessarily for describing a sequential or chronological order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, apparatus, article, or device that comprises a list of steps or elements is not limited to the list of steps or elements but may, in the alternative, include other steps or elements not expressly listed or inherent to such process, method, article, or device.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the invention. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
The invention discloses a cascade suppression-based unbalanced aliasing spread spectrum signal blind separation method, which can obtain multi-beam same-frequency signals of a spread spectrum satellite mobile communication system; synchronous searching processing is carried out on multi-beam same-frequency signals of the spread spectrum satellite mobile communication system, and time slot synchronous detection information and frame synchronous detection information are obtained; dividing the multi-beam same-frequency signal of the spread spectrum satellite mobile communication system into two paths from a frame starting position according to the time slot synchronous detection information to obtain a main channel signal and a reference channel signal; processing strong signal data in the main channel signal to obtain a frequency estimated value and an amplitude estimated value; demodulating strong signal data in the reference channel signal to obtain an amplitude phase compensation signal; performing adaptive filtering processing on the main channel signal by using the amplitude phase compensation signal to obtain separated weak signal data; and demodulating the separated weak signal data to obtain demodulation signal information, and realizing the blind separation of the multi-beam same-frequency signals.
The meaning of blind separation is to recover an independent source signal from only the observed mixed signal (typically the output of multiple sensors), where blind means that the source signal is not observable or that the mixed system is not known a priori.
Example 1
Referring to fig. 1, fig. 1 is a schematic flow chart of a multi-cascade suppression-based unbalanced aliasing spread spectrum signal blind separation method according to an embodiment of the present invention. The unbalanced aliasing spread spectrum signal blind separation method based on cascade suppression described in fig. 1 can be applied to a satellite mobile communication system, and can also be applied to the field of communication countermeasure, and the embodiment of the invention is not limited. As shown in fig. 1, the cascade suppression-based unbalanced aliased spread spectrum signal blind separation method may include the following operations:
s1, acquiring multi-beam same-frequency signals of a spread spectrum satellite mobile communication system;
s2, synchronous searching processing is carried out on the multi-beam same-frequency signals of the spread spectrum satellite mobile communication system, and time slot synchronous detection information and frame synchronous detection information are obtained;
s3, dividing the multi-beam same-frequency signal of the spread spectrum satellite mobile communication system into two paths from a frame starting position according to the time slot synchronous detection information and the frame synchronous detection information to obtain a main channel signal and a reference channel signal;
s4, processing the strong signal data in the main channel signal to obtain a frequency estimated value and an amplitude estimated value;
s5, demodulating the strong signal data in the reference channel signal by utilizing the frequency estimation value and the amplitude estimation value to obtain an amplitude phase compensation signal;
s6, performing adaptive filtering processing on the main channel signal by using the amplitude phase compensation signal to obtain separated weak signal data;
and S7, demodulating the separated weak signal data to obtain demodulation signal information, and realizing the blind separation of the multi-beam same-frequency signals.
Optionally, the performing synchronous search processing on the multi-beam same-frequency signal of the spread spectrum satellite mobile communication system to obtain time slot synchronous detection information and frame synchronous detection information includes:
s21, framing the multi-beam same-frequency signal of the spread spectrum satellite mobile communication system to obtain a plurality of frame signals with frame length of 10 ms;
s22, uniformly dividing frame signals with each frame length of 10ms to obtain 15 time slots;
s23, sliding search is carried out by utilizing a preset main synchronous code sequence, and the starting position of each time slot is determined to obtain time slot synchronous detection information;
s24, according to the time slot synchronous detection information, sliding matching search is carried out by utilizing a preset auxiliary synchronous code sequence, and frame synchronous detection information is obtained.
Optionally, the performing sliding search by using a preset primary synchronization code sequence, determining a starting position of each time slot, and obtaining time slot synchronization detection information includes:
s231, intercepting a data segment S with length of l=5120 from the multi-beam co-channel signal of the spread spectrum satellite mobile communication system 1 ；
S232, pair S 1 Intercepting to obtain intercepted data S 1 (i:M),i＝1；
S233, for intercepted data S 1 (i: M) processing to obtain T 1 (i) The expression is:
T 1 (i)＝abs(sum(S 1 (i:M).*C z ))
where abs () is the absolute value, sum () represents the sum, x represents the point-by-point multiplication of the vector, C z As a preset primary synchronization code sequence, m=256 is the primary synchronization code sequence length;
s234, pair S 1 Intercepting to obtain intercepted data S 1 (i+1:M+1)；
S235, for intercepted data S 1 Processing (i+1:M+1) to obtain T 1 (i+1) of the formula:
T 1 (i+1)＝abs(sum(S 1 (i+1:M+1).*C z ))
s236, i=i+1, repeating S232, S233, S334, S235 until sliding to S 1 (L-M+ 1:L), T is calculated 1 (L-M+1)；
S237, calculating the vector T 1 A maximum value of (1:L-M+1); and the maximum value corresponding data position is time slot synchronous detection information.
Optionally, the performing sliding matching search by using a preset secondary synchronization code sequence according to the time slot synchronization detection information to obtain frame synchronization detection information includes:
s241, obtain secondary synchronization code sequence C k Secondary synchronization code sequence length n=3840, k=1, 2, …,512 represents the kth group of secondary synchronization code sequences;
s242, according to the time slot synchronous detection information, intercepting the data segment S with the length of P=76800 in the multi-beam same-frequency signal of the spread spectrum satellite mobile communication system 2 ；
S243 of S 2 Intercepting to obtain intercepted data S 2 (j:N)，j＝1，S 2 (j: N) and Secondary synchronization code sequence C k Calculating to obtain T 2,1 (j) The formula is:
T 2,1 (j)＝abs(sum(S 2 (j:N).*C k ))
where abs () represents absolute value, sum () represents sum, x represents vector point-by-point multiplication, k=1, 2, …,512;
s244, pair S 2 Intercepting to obtain intercepted data S 2 (j+1: N+1), and secondary synchronization code sequence C k Calculating to obtain T 2,1 (j+1) of the formula:
T 2,1 (j+1)＝abs(sum(S 2 (j+1:N+1).*C k ))
s245, j=j+1, repeating S243, S244 until sliding to S 2 (P-N+ 1:P) calculation to obtain T 2,1 (P-N+1)；
S246, calculating vector T 2,1 Maximum value T of (1:P-N+1) 2,max (k)；
S247, intercept data S 2 (j: N) and Secondary synchronization code sequence C k+1 Calculating to obtain T 2,2 (j) The formula is:
T 2,2 (j)＝abs(sum(S 2 (j+1:N).*C k+1 ))
s248 until sliding to S 2 (P-N+ 1:P), T is calculated 2,2 (1:P-N+1)), vector T is calculated 2,2 Maximum value T of (1:P-N+1) 2,max (k+1)；
S249, k=k+1, repeating S243, S244, S245, S246, S247, S248 until traversing to k=512, obtaining T 2,max (1:512)；
S250, calculating T 2,max Maximum value T of (1:512) 2,max (m),m∈(1,2,…,512),T 2,max The signal data position corresponding to (m) is frame synchronization detection information.
Optionally, the processing the strong signal data in the main channel signal to obtain a frequency estimated value and an amplitude estimated value includes:
s41, performing frequency estimation on strong signal data in the main channel signal by using a Fourier transform method to obtain a frequency estimation value;
optionally, strong signal data in the main channel signal is estimated, f=max (abs (fft (x) 0 ) And), where f is the estimated frequency value,max () represents maximum value calculation, abs () represents absolute value calculation, and fft () represents classical fourier transform calculation.
Optionally, processing the frequency value to obtain an instantaneous phase value; from the obtained frequency, d_ang (n) =angle (exp (i·f·n) is calculated, where f is the estimated frequency value, exp () represents the exponential calculation, angle () represents the obtained phase angle, i.e. the instantaneous phase value, n, i being a variable.
S42, carrying out amplitude estimation on the strong signal data in the main channel signal by using an energy spectrum accumulation method to obtain an amplitude estimation value.
The energy spectrum accumulating method is that the energy spectrum is accumulated by d_mean (n) =mean (abs (x) 0 (n)) can calculate the amplitude value d_mean (n) of the strong signal data, where abs () represents the absolute value, mean () represents the average value, x 0 (n) is the strong signal data in the main channel signal.
Optionally, the demodulating the strong signal data in the reference channel signal to obtain an amplitude phase compensation signal includes:
s51, demodulating strong signal data in the reference channel signal to obtain baseband bit data information;
the baseband bit data information is a baseband data sequence introduced in the communication principle, and refers to communication data under the condition of zero intermediate frequency, and is distinguished from intermediate frequency data and radio frequency data.
S52, spreading, scrambling and modulating the baseband bit data information to obtain reconstructed signal information;
the method comprises the following specific steps:
1) Generating a spread spectrum sequence by utilizing a sequence generation type according to known spread spectrum parameters, and performing spread spectrum processing on the baseband data obtained by demodulation;
2) Scrambling the spread data according to the scrambling sequence obtained in the step S24;
3) The scrambled data is modulated according to classical quadrature phase shift keying (Quadrature Phase Shift Keying, QPSK) modulation principle. The spreading, scrambling and modulation processes involved all employ classical principles and formulas in the communication principle.
And S53, performing amplitude phase compensation on the reconstructed signal information by using the frequency estimation value and the amplitude estimation value to obtain an amplitude phase compensation signal.
The command reconstruction signal is x_new (n), the compensation signal is x_res (n),
x_res(n)＝x_new(n)·d_mea(n)·exp(i·d_ang(n)))
optionally, the adaptive filtering processing is performed on the main channel signal by using the amplitude phase compensation signal to obtain separated weak signal data, and the method comprises the following steps:
processing by using an adaptive filtering formula to obtain separated weak signal data e (n);
the adaptive filtering formula is as follows:
wherein ω (n) is a 1×m order filter coefficient vector; n=1, 2..is the time variable, T is the transpose, H is the transpose of the conjugate, x represents the conjugate e (n) is the main channel signal, M is the filter order; the step size mu (n) is constant, and a typical value can be 0.8; x is x r (n)＝[x r (n) x r (n-1) ... x r (n-M+1)] T Is an amplitude phase compensation signal.
Fig. 2 is a comparison of the results of processing multi-beam co-frequency signals using the method of the present invention with those without the method of the present invention. As can be seen from fig. 2 (a), the strong signal can be detected well before the multi-beam co-channel signal is processed by the method of the present invention, while the weak signal is completely submerged by the strong signal. Fig. 2 (b) shows a spectrum after being processed by the method of the present invention, and it can be seen that after the strong signal is suppressed to a greater extent by the adaptive processing, the weak signal can be better detected, so that the same-frequency signal separation can be achieved.
Therefore, by implementing the multi-beam same-frequency signal blind separation method described by the embodiment of the invention, the multi-beam same-frequency signal of the spread spectrum satellite mobile communication system can be obtained; synchronous searching processing is carried out on multi-beam same-frequency signals of the spread spectrum satellite mobile communication system, and time slot synchronous detection information and frame synchronous detection information are obtained; dividing the multi-beam same-frequency signal of the spread spectrum satellite mobile communication system into two paths from a frame starting position according to the time slot synchronous detection information to obtain a main channel signal and a reference channel signal; processing strong signal data in the main channel signal to obtain a frequency estimated value and an amplitude estimated value; demodulating strong signal data in the reference channel signal to obtain an amplitude phase compensation signal; performing adaptive filtering processing on the main channel signal by using the amplitude phase compensation signal to obtain separated weak signal data; and demodulating the separated weak signal data to obtain demodulation signal information, and realizing the blind separation of the multi-beam same-frequency signals. The invention provides technical support for signal receiving processing, data analysis, flow statistics, service monitoring and the like of the novel mobile communication satellite system, and has important significance for improving the supervision capability of the mobile communication satellite system.
From the above detailed description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course by means of hardware. Based on such understanding, the foregoing technical solutions may be embodied essentially or in part in the form of a software product that may be stored in a computer-readable storage medium including Read-Only Memory (ROM), random-access Memory (Random Access Memory, RAM), programmable Read-Only Memory (Programmable Read-Only Memory, PROM), erasable programmable Read-Only Memory (Erasable Programmable Read Only Memory, EPROM), one-time programmable Read-Only Memory (OTPROM), electrically erasable programmable Read-Only Memory (EEPROM), compact disc Read-Only Memory (Compact Disc Read-Only Memory, CD-ROM) or other optical disc Memory, magnetic disc Memory, tape Memory, or any other medium that can be used for computer-readable carrying or storing data.
Finally, it should be noted that: the embodiment of the invention discloses a cascade suppression-based unbalanced aliasing spread spectrum signal blind separation method, which is disclosed by the embodiment of the invention only as a preferred embodiment of the invention, and is only used for illustrating the technical scheme of the invention, but not limiting the technical scheme; although the invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art will understand that; the technical scheme recorded in the various embodiments can be modified or part of technical features in the technical scheme can be replaced equivalently; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.
Claims (7)
1. A method for blind separation of unbalanced aliased spread spectrum signals based on cascade suppression, the method comprising:
s1, acquiring multi-beam same-frequency signals of a spread spectrum satellite mobile communication system;
s2, synchronous searching processing is carried out on the multi-beam same-frequency signals of the spread spectrum satellite mobile communication system, and time slot synchronous detection information and frame synchronous detection information are obtained;
s3, dividing the multi-beam same-frequency signal of the spread spectrum satellite mobile communication system into two paths from a frame starting position according to the time slot synchronous detection information and the frame synchronous detection information to obtain a main channel signal and a reference channel signal;
s4, processing the strong signal data in the main channel signal to obtain a frequency estimated value and an amplitude estimated value;
s5, demodulating the strong signal data in the reference channel signal by utilizing the frequency estimation value and the amplitude estimation value to obtain an amplitude phase compensation signal;
s6, performing adaptive filtering processing on the main channel signal by using the amplitude phase compensation signal to obtain separated weak signal data;
and S7, demodulating the separated weak signal data to obtain demodulation signal information, and realizing the blind separation of the multi-beam same-frequency signals.
2. The method for blind separation of unbalanced aliasing spread spectrum signals based on cascade suppression according to claim 1, wherein the step of performing synchronous search processing on the multi-beam co-frequency signals of the spread spectrum satellite mobile communication system to obtain time slot synchronous detection information and frame synchronous detection information comprises the steps of:
s21, framing the multi-beam same-frequency signal of the spread spectrum satellite mobile communication system to obtain a plurality of frame signals with frame length of 10 ms;
s22, uniformly dividing frame signals with each frame length of 10ms to obtain 15 time slots;
s23, sliding search is carried out by utilizing a preset main synchronous code sequence, and the starting position of each time slot is determined to obtain time slot synchronous detection information;
s24, according to the time slot synchronous detection information, sliding matching search is carried out by utilizing a preset auxiliary synchronous code sequence, and frame synchronous detection information is obtained.
3. The blind separation method of unbalanced aliasing spread spectrum signals based on cascade suppression according to claim 2, wherein the performing sliding search by using a preset primary synchronization code sequence to determine a starting position of each time slot and obtain time slot synchronization detection information includes:
s231, intercepting a data segment S with length of l=5120 from the multi-beam co-channel signal of the spread spectrum satellite mobile communication system 1 ；
S232, pair S 1 Intercepting to obtain intercepted data S 1 (i:M),i＝1；
S233, for intercepted data S 1 (i: M) processing to obtain T 1 (i) The expression is:
T 1 (i)＝abs(sum(S 1 (i:M).*C z ))
where abs () is the absolute value, sum () represents the sum, x represents the point-by-point multiplication of the vector, C z As a preset primary synchronization code sequence, m=256 is the primary synchronization code sequence length;
s234, pair S 1 Proceeding withIntercepting to obtain intercepted data S 1 (i+1:M+1)；
S235, for intercepted data S 1 Processing (i+1:M+1) to obtain T 1 (i+1) of the formula:
T 1 (i+1)＝abs(sum(S 1 (i+1:M+1).*C z ))
s236, i=i+1, repeating S232, S233, S334, S235 until sliding to S 1 (L-M+ 1:L), T is calculated 1 (L-M+1)；
S237, calculating the vector T 1 A maximum value of (1:L-M+1); and the maximum value corresponding data position is time slot synchronous detection information.
4. The method for blind separation of unbalanced aliasing and spread spectrum signals based on cascade suppression according to claim 2, wherein the performing sliding matching search by using a preset secondary synchronization code sequence according to the time slot synchronization detection information to obtain frame synchronization detection information comprises:
s241, obtain secondary synchronization code sequence C k Secondary synchronization code sequence length n=3840, k=1, 2, …,512 represents the kth group of secondary synchronization code sequences;
s242, according to the time slot synchronous detection information, intercepting the data segment S with the length of P=76800 in the multi-beam same-frequency signal of the spread spectrum satellite mobile communication system 2 ；
S243 of S 2 Intercepting to obtain intercepted data S 2 (j:N)，j＝1，S 2 (j: N) and Secondary synchronization code sequence C k Calculating to obtain T 2,1 (j) The formula is:
T 2,1 (j)＝abs(sum(S 2 (j:N).*C k ))
where abs () represents absolute value, sum () represents sum, x represents vector point-by-point multiplication, k=1, 2, …,512;
s244, pair S 2 Intercepting to obtain intercepted data S 2 (j+1: N+1), and secondary synchronization code sequence C k Calculating to obtain T 2,1 (j+1) of the formula:
T 2,1 (j+1)＝abs(sum(S 2 (j+1:N+1).*C k ))
s245, j=j+1, repeating S243, S244 until sliding to S 2 (P-N+ 1:P) calculation to obtain T 2,1 (P-N+1)；
S246, calculating vector T 2,1 Maximum value T of (1:P-N+1) 2,max (k)；
S247, intercept data S 2 (j: N) and Secondary synchronization code sequence C k+1 Calculating to obtain T 2,2 (j) The formula is:
T 2,2 (j)＝abs(sum(S 2 (j+1:N).*C k+1 ))
s248 until sliding to S 2 (P-N+ 1:P), T is calculated 2,2 (1:P-N+1)), vector T is calculated 2,2 Maximum value T of (1:P-N+1) 2,max (k+1)；
S249, k=k+1, repeating S243, S244, S245, S246, S247, S248 until traversing to k=512, obtaining T 2,max (1:512)；
S250, calculating T 2,max Maximum value T of (1:512) 2,max (m),m∈(1,2,…,512),T 2,max The signal data position corresponding to (m) is frame synchronization detection information.
5. The method for blind separation of unbalanced aliasing spread spectrum signals based on cascade suppression according to claim 1, wherein the processing of strong signal data in the main channel signal to obtain a frequency estimation value and an amplitude estimation value comprises:
s41, performing frequency estimation on strong signal data in the main channel signal by using a Fourier transform method to obtain a frequency estimation value;
s42, carrying out amplitude estimation on the strong signal data in the main channel signal by using an energy spectrum accumulation method to obtain an amplitude estimation value.
6. The cascade suppression-based unbalanced aliasing spread spectrum signal blind separation method of claim 1, wherein the demodulating the strong signal data in the reference channel signal to obtain an amplitude phase compensation signal comprises:
s51, demodulating strong signal data in the reference channel signal to obtain baseband bit data information;
s52, spreading, scrambling and modulating the baseband bit data information to obtain reconstructed signal information;
and S53, performing amplitude phase compensation on the reconstructed signal information by using the frequency estimation value and the amplitude estimation value to obtain an amplitude phase compensation signal.
7. The cascade suppression-based unbalanced aliasing spread spectrum signal blind separation method of claim 1, wherein the adaptive filtering processing is performed on the main channel signal by using the amplitude phase compensation signal to obtain separated weak signal data, and the method comprises the following steps:
processing by using an adaptive filtering formula to obtain separated weak signal data e (n);
the adaptive filtering formula is as follows:
wherein ω (n) is a 1×m order filter coefficient vector; n=1, 2..is the time variable, T is the transpose, H is the transpose of the conjugate, x represents the conjugate e (n) is the main channel signal, M is the filter order; step size μ (n) is a constant; x is x r (n)＝[x r (n) x r (n-1) … x r (n-M+1)] T Is an amplitude phase compensation signal.
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