CN108761438A - Radar-communication integration Design of Signal method based on MPSK-DSSS - Google Patents
Radar-communication integration Design of Signal method based on MPSK-DSSS Download PDFInfo
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/02—Systems using reflection of radio waves, e.g. primary radar systems; Analogous systems
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/021—Auxiliary means for detecting or identifying radar signals or the like, e.g. radar jamming signals
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
- G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
- G01S7/40—Means for monitoring or calibrating
Abstract
The radar-communication integration Design of Signal method based on MPSK-DSSS that the invention discloses a kind of, includes the following steps：Integrated transmitting terminal is according to mapping f1, serioparallel exchange, spread spectrum, Selecting phasing, modulation generates integration signal and launches, and radar receiving terminal carries out matched filtering using integrated echo-signal, and Sidelobe Suppression filtering realizes that radar detection function, communication receiver pass through demodulation, phase inverse mapping, despreading, parallel-serial conversion map f2Realize communications function.The present invention makes system while carrying out radar detection by the way that transmitting original binary bit sequence to be mapped as to the design of preferred binary bit sequence and radar receiving terminal sidelobe suppression filter, can efficiently be communicated.
Description
Technical field
The invention belongs to radar communication fields, and in particular to a kind of radar-communication integration signal based on MPSK-DSSS
The design method of (abbreviation integration signal), which not only contains the communication information, but also can realize the mesh of radar detection
's.
Background technology
With the development of technology, the electromagnetic environment of optimal in structure becomes increasingly complex, operational performance and survival ability by
The challenge of getting worse.In order to cope with complicated electromagnetic environment, optimal in structure has to carry a large amount of electronic equipment, however
It will produce serious electromagnetic compatibility problem between different equipment.In order to reduce the electromagnetic interference of optimal in structure, optimal in structure is answered
This develops to multifunctional all direction.And the primary electronic device of optimal in structure includes radar equipment and communication equipment, institute
The overall performance that optimal in structure can be improved with radar-communication integration, is of great practical significance.
Design about radar-communication integration waveform at present, is mainly the following mode.The first is radar and leads to
Letter signal respectively independently generates, and is synthesized in transmitting terminal, is detached in receiving terminal, blind source separating may be used, signal
Orthogonal scheduling theory detaches signal, but this method needs deterministic signal to be referred to.Second is to be based on thunder
Integration signal up to waveform designs, mainly by the linear frequency modulated waveform of modulate communications information to radar, but this side
The transmission rate of method signal is relatively low, cannot be satisfied the actual demand of high-speed communication.The third is the one based on communication waveforms
Change Design of Signal, mainly by the signal such as orthogonal frequency-division multiplex singal of ripe application in existing communication system, spread-spectrum signal etc.
Applied in radar detection.
In general, the third mode is to design the mainstream of radar-communication integration waveform at present.But due to radar and
The demand communicated to signal is different, directly carries out radar detection using the signal in communication, inevitably makes radar
Detection performance declines.
Invention content
It is an object of the invention to make up above-mentioned the deficiencies in the prior art, it is difficult to for radar data reduction and communication performance
A kind of the problem of taking into account, it is proposed that radar-communication integration Design of Signal method based on MPSK-DSSS.
The technical solution adopted by the present invention is a kind of based on MPSK-DSSS radar-communication integration Design of Signal methods, packet
Include following steps：
(1) signal parameter, design map f are utilized1, preferred binary bit sequence is constructed, radar-communication integration is made to believe
Number radar data reduction meet the requirements；
(2) the B binary bit sequence transmitted will be needed by mapping f every time1, serioparallel exchange, spread spectrum coding, phase
Selection generates the radar-communication integration baseband signal for emitting MPSK-DSSS, is sent after ovennodulation and analog-to-digital conversion；
(3) for radar detection, radar antenna is filtered after receiving radar-communication integration echo-signal by a matching
The cascade network of wave device and the first sidelobe suppression filter, obtains output signal, is sent to follow-up signal process flow；
(4) for communication, communication receiver demodulates the signal received, using phase inverse mapping, despreading
And parallel-serial conversion, obtain the binary bit sequence of actual transmissions；Finally recycle mapping f1Inverse mapping f2Obtain original biography
B defeated binary bit sequence.
Further, include the following steps in the step (1)：
1) signal parameter is utilized, (B+klog is generated2M) (k=0,1,2,3 ...) a binary bits set, M tables
Show the exponent number of phase-modulation, is shared in the binary bits setThe possible bit sequence of kind, by the binary system ratio
All bit sequences in spy's set are by serioparallel exchange, and spread spectrum coding, Selecting phasing, which obtains radar-communication integration base band, to be believed
Number；
2) recursive least squares is utilized to design the second sidelobe suppression filter, each radar-communication integration base band
Signal compresses to obtain matched filtering output signal by pulse, and matched filtering output signal is made to pass through the filtering of the second Sidelobe Suppression
Device finds out peak sidelobe value to output result；
3) consider radar-communication integration signal radar data reduction, provide threshold gamma, by peak sidelobe value with
Threshold gamma compares, and statistics peak sidelobe value is less than the total number N of threshold gamma1, by N1WithIt is compared, ifK=k+1 is then enabled, and repeats step 1) and step 2), is otherwise gone to step 4)；
4) by the N1A peak sidelobe value takes preceding 2 by sorting from small to largeBA peak sidelobe value, finds out this
A little peak sidelobes are worth corresponding (B+klog2M) (k=0,1,2,3 ...) position binary bit sequence, as preferably
The preferred binary bit sequence is constituted set U by binary bit sequence1；B binary bit sequences are generated, are constituted
Set U2, and establish mapping f1:U2→U1；It will set U1In binary bits sequence of the binary bit sequence as actual transmission
Row.
Further, the design of first sidelobe suppression filter includes the following steps：
1. exporting s (τ) according to radar-communication integration Signal Matching filter constructs the defeated of the first sidelobe suppression filter
The expected response d of incoming vector u and the first sidelobe suppression filter；
2. initializing the weight vector w (0) of the first sidelobe suppression filter, setting inverse correlation matrix P (0) and regularization coefficient
Value；
3. utilize recursive least squares, according to step 1. with step 2. in parameter, the gain of renewable time i successively
Vectorial k (i), error e (i), weight vector w (i) and inverse correlation matrix P (i)；
4. whether error in judgement e (i) restrains, if not restraining, repeats step 3., if convergence, at this time weight vector w
(i) be exactly the first sidelobe suppression filter coefficient.
Further, the design of second sidelobe suppression filter includes the following steps：
(i) s (τ) is exported according to radar-communication integration Signal Matching filter and constructs the defeated of the second sidelobe suppression filter
The expected response d of incoming vector u and the first sidelobe suppression filter；
(ii) the weight vector w (0) of the second sidelobe suppression filter, setting inverse correlation matrix P (0) and regularization coefficient are initialized
Value；
(iii) utilize recursive least squares, step (i) with step (ii) in parameter, the gain vector of renewable time i successively
K (i), error e (i), weight vector w (i) and inverse correlation matrix P (i)；
(iv) whether error in judgement e (i) restrains, if not restraining, repeats step (iii), if convergence, at this time weight vector w
(i) be exactly the second sidelobe suppression filter coefficient.
Beneficial effects of the present invention are：
It is proposed a kind of design method based on MPSK-DSSS radar-communication integration signals, by will emit original two into
Sequence processed is mapped as the design of the first sidelobe suppression filter of preferred two-stage system sequence and radar receiving terminal, is carrying out efficiently
While communication, signal can also be made to complete radar detection task.
Description of the drawings
Fig. 1 is the system structure diagram of the present invention；
Fig. 2 is mapping f1In preferably binary bit sequence generate flow chart；
Fig. 3 is the first sidelobe suppression filter design frame chart based on RLS algorithm；
Fig. 4 (a) is output of the integration signal after matched filter；
Fig. 4 (b) is output of the integration signal after the first sidelobe suppression filter.
Specific implementation mode
The content of present invention is described in further detail below in conjunction with the accompanying drawings.
As shown in Figure 1, including mainly three parts, i.e. MPSK-DSSS integration signals in the system structure of the present invention
Generate transmitting, processing of the radar end to the processing of integrated echo-signal and communication ends to the integration signal received.It adopts
System is sent with pulse.Pulse repetition period is T, within each pulse period, using the phase code wave of Direct Sequence Spread Spectrum
Shape.
MPSK is modulated, M is enabled to indicate the exponent number of phase-modulation, TsIndicate symbol period.The practical biography of integration signal
Defeated rate is
If the binary bits number sent is B, this B bit is subjected to serioparallel exchange, is divided intoGroup, and enable and dividing
Binary bit sequence after group forms information code matrix D, and the size of D isEach row of D are pressed into lattice
The coding mode of thunder code is mapped in the phase of planisphere, has just obtained the phase of each symbol of mpsk signal.According to above
Description, we can obtain：
Wherein s (t) is the expression formula of mpsk signal, and t indicates the time,For the symbol numbers of mpsk signal, j
For complex unit, F is the mapping for converting information bit to corresponding phase, D (,:N) nth symbol of mpsk signal is indicated,
G indicates that rectangle single pulse signal, general type are as follows：
Pseudo-random sequence as spread spectrum can be expressed as：
Wherein, c (t) is the pseudo-random sequence expression formula of spread spectrum, TcIndicate that chip period, L indicate the length of frequency expansion sequence,
ciFor i-th of chip of frequency expansion sequence, value is { -1,1 }, we store the frequency expansion sequence using vectorial c, then the size of c is 1
×L。
Based on formula (1) (2) (3), the complex envelope form of MPSK-DSSS integration signals can be expressed as by we：
Wherein sD-MPSK(t) it is integrated signal expression, Sn=D (,:N) after c is the nth symbol spread spectrum of mpsk signal
Matrix, Sn(:, m) and indicate that the m of the matrix after the nth symbol of mpsk signal is spread is arranged, SnSize be
fcFor carrier frequency.
We enable φq=F (Sn(,:M)), the phase of m-th of chip after the nth symbol spread spectrum of mpsk signal is indicated,
Formula (4) can be then expressed as compact form by wherein q=nL+m：
If directly using the integration signal in formula (5) as radar signal, radar data reduction can be with transmission
The change of binary message code and generate violent fluctuation, in order to optimize the radar data reduction of integration signal, it would be desirable to
The mapping f in Fig. 1 is added1, map f1Main purpose be to make integration under the premise of signal form in not changing formula (5)
The radar data reduction of signal also complies with requirement.Specifically, f is mapped1Exactly establish an original binary bit sequence with
It is preferred that the single-value mapping of binary bit sequence, preferably binary bit sequence pass through matched filtering and Sidelobe Suppression at radar end
There can be good radar data reduction later.
Map f1The step of constructing preferred binary bit sequence is as follows：
1) signal parameter is utilized, B+klog is generated2A binary bits of M (k=0,1,2,3 ...), in the set altogether
HaveThe possible bit sequence of kind.All bit sequences in the set are passed through into serioparallel exchange, spread spectrum coding, phase choosing
It selects to obtain MPSK-DSSS integration baseband signals.
2) it utilizes RLS algorithm to design the second sidelobe suppression filter, each integrated baseband signal is enabled to pass through pulse pressure
Contracting obtains matched filtering output signal, and output signal is made to pass through the second sidelobe suppression filter, and PSL is found out to output result
Value.
3) consider integration signal radar data reduction, provide threshold gamma, by PSL values compared with threshold gamma, statistics is wherein
Less than the total number N of threshold gamma1.By N1With 2BIt is compared, if N1< 2B, then k=k+1 is enabled, and repeat step 1) and step
It is rapid 2), otherwise go to step 4).
4) by the N for the condition that meets1A PSL values take preceding 2 by sorting from small to largeBA PSL values find out these PSL values correspondence
B+klog2These binary bit sequences are constituted set U by M binary bit sequences1.Generate B binary bits sequences
Row constitute set U2, and establish injection f1:U2→U1.It will set U1In binary bit sequence as actual transmission two into
Bit sequence processed.
With reference to above-mentioned steps to mapping f1Process carry out some specific descriptions.
For carrying out serioparallel exchange, spread spectrum coding in transmitting terminal in step 1), Selecting phasing generates radar-communication integration
Carried out in baseband signal and step 2) matched filtering, Sidelobe Suppression whole process, herein using the purpose of the process be for
Make mapping f1It can be successfully constructed, and be equally in Fig. 1 to enable integration signal using the purpose of the process
It is smoothly generated, and subsequent radar detection function can be completed.
It, will be detailed in radar receiving terminal part for the RLS algorithm for the second sidelobe suppression filter of design that step 2) is mentioned
It states.
For the threshold gamma referred in step 3), it is the parameter of a characterization radar detection characteristics, if PSL < γ,
It is considered that the integration signal can obtain good radar data reduction after treatment, the integration signal corresponding two
System bit sequence is a preferred binary bit sequence.If PSL > γ, be considered as the integration signal even across
Processing can not also obtain good radar data reduction, it should give up the corresponding binary bit sequence of the integration signal.It is right
It is less than the total number N of threshold gamma in PSL1If N1< 2B, it is meant that take B+klog2M binary bit sequences generate excellent
Select binary bit sequence sum that all original binary bit sequences can not be made to obtain preferably, if N1≥2B, it is meant that I
All original binary bit sequences can be made to be mapped in a preferred binary bit sequence.
For the mapping f of step 4)1, a kind of specific rules can be by U1And U2In all binary sequences corresponding ten
System number arranges from small to large, then corresponds.
Map f1Programming implementation flow chart it is as shown in Figure 2.
It in radar receiving terminal, needs to handle integrated echo-signal, be filtered as shown in Figure 1, the part includes matching
Wave device and first sidelobe suppression filter two parts, matched filter can be used pulse compression and realize, press down below to the first secondary lobe
The design of filter processed elaborates.
For radar detection, ideal matched filter output waveform should be δ functions.But it is filtered in actual matching
In wave process, non-zero secondary lobe is inevitably will produce, these non-zero secondary lobes are considered as noise by us.Sidelobe Suppression process can be with
Regard adaptive noise interference cancellation process as.We design sidelobe suppression filter using RLS methods, and Fig. 3, which is shown, to change
When generation training, the design frame chart of the first sidelobe suppression filter.
If s (τ) is the matched filtering output of integrated signal, when being iterated trained, the first sidelobe suppression filter is defeated
Enter the repetition that signal u should be s (τ).In order to eliminate the influence between front and back s (τ), it should be inserted into null vector therebetween, and null vector
Length is at least the length of the first sidelobe suppression filter, and previous s (τ) can just be made to be fully removed the filter of the first Sidelobe Suppression in this way
After wave device, the latter s (τ) just enters the first sidelobe suppression filter.In order to reduce iterations, the length of null vector is again unsuitable
It is long.So u is：
U=[0, s (τ), 0, s (τ), 0 ...] (6)
And meet relationship Lw=Lz, LwFor the length of the first sidelobe suppression filter, LzFor the length of null vector.
Expected response d should be the repetition of δ functions, i.e.,：
D=[δ, δ, δ, δ ...] (7)
Wherein, the length of δ functions is Lw+Ls(τ), Ls(τ)For the length of s (τ), 1 position is located in δ functionsSymbolTo round up.
Input vector u (i) is a length of L of signal u in formula (6)wOne section, w (i) be i moment Transversal Filter coefficients,
The length of Lw, its final result is exactly the coefficient of the first sidelobe suppression filter.D (i) is the value of i moment vectors d, e (i)
For the difference of i moment expected response and transversal filter output.
Based on the above it is assumed that in conjunction with RLS algorithm, the solution procedure of the coefficient of the first sidelobe suppression filter is provided such as
Under：
Step 1) initialization：
Wherein P (i) is the inverse correlation matrix at i moment, and ρ is regularization coefficient, related with signal-to-noise ratio, when high s/n ratio take compared with
Small value, when low signal-to-noise ratio, take higher value, I Lw×LwUnit matrix.
Step 2) for each moment i=1,2,3 ... ask：
E (i)=d (i)-wH(i-1)u(i) (10)
W (i)=w (i-1)+k (i) e*(i) (11)
Wherein, λ is forgetting factor, λ ∈ [0,1], e*(i) it is the conjugation of i moment error es (i), k (i) is the increasing at i moment
Beneficial vector, matrix indicate that result is the Hermite Matrix of the matrix with subscript H.
Step 3) updates：
P (i)=λ-1P(i-1)-λ-1k(i)uH(i)P(i-1) (12)
Step 2) and step 3) are repeated, until error e (i) restrains, weight vector w (i) at this time is exactly the first Sidelobe Suppression
The coefficient of filter.
Map f1In the second sidelobe suppression filter design method it is identical as the first sidelobe suppression filter, it is no longer superfluous
It states.
It is modulated using 2PSK-DSSS, simulation parameter Tc=10-7The data of s, L=31, B=10, transmission are 10 systems
10, by the integration signal of generation by matched filter, obtained result such as Fig. 4 (a) is shown, it can be seen that integration letter
Output result after number matched filtering still has larger secondary lobe, its radar data reduction is poor, and then we will match
Filtering output result is by the first sidelobe suppression filter, and obtained result such as Fig. 4 (b) is shown, it can be seen that the secondary lobe of output
It is obviously forced down, as a result produces the effect of approximate ideal drawing pin type, radar data reduction is good.
It can be using PSL from the performance numerically more intuitively weighed by Sidelobe Suppression afterpulse compressed signal.Root
According to the definition of PSL
It is calculated using the simulation parameter of Fig. 4, the PSL=-4dB of s (τ) after matched filtering is filtered by the first Sidelobe Suppression
The PSL=-22.7dB of result is exported afterwards, and PSL values improve 15dB or more, there is good radar data reduction.
It is in communication receiver, integration signal is demodulated, phase inverse mapping, after despreading, using mapping f2, you can
Obtain original communication binary bit sequence.Wherein, f is mapped2To map f1Inverse mapping.
Claims (4)
1. a kind of radar-communication integration Design of Signal method based on MPSK-DSSS, comprises the steps of：
(1) signal parameter, design map f are utilized1, preferred binary bit sequence is constructed, the thunder of radar-communication integration signal is made
It meets the requirements up to detection performance；
(2) the B binary bit sequence transmitted will be needed by mapping f every time1, serioparallel exchange, spread spectrum coding, Selecting phasing
The radar-communication integration baseband signal for emitting MPSK-DSSS is generated, is sent after ovennodulation and analog-to-digital conversion；
(3) for radar detection, radar antenna receives after radar-communication integration echo-signal through a matched filter
With the cascade network of the first sidelobe suppression filter, output signal is obtained, is sent to follow-up signal process flow；
(4) for communication, communication receiver demodulates the signal received, using phase inverse mapping, despreading and
Parallel-serial conversion obtains the binary bit sequence of actual transmissions；Finally recycle mapping f1Inverse mapping f2Obtain original transmitted
B binary bit sequence.
2. the radar-communication integration Design of Signal method according to claim 1 based on MPSK-DSSS, feature exist
In including the following steps in the step (1)：
1) signal parameter is utilized, (B+klog is generated2M) (k=0,1,2,3 ...) a binary bits set, M indicate phase
The exponent number of modulation shares in the binary bits setThe possible bit sequence of kind, by the binary bits set
Interior all bit sequences obtain radar-communication integration baseband signal by serioparallel exchange, spread spectrum coding, Selecting phasing；
2) recursive least squares is utilized to design the second sidelobe suppression filter, each radar-communication integration baseband signal
It compresses to obtain matched filtering output signal by pulse, and matched filtering output signal is made to pass through the second sidelobe suppression filter,
Peak sidelobe value is found out to output result；
3) radar data reduction for considering radar-communication integration signal, provides threshold gamma, by peak sidelobe value and threshold value
γ compares, and statistics peak sidelobe value is less than the total number N of threshold gamma1, by N1WithIt is compared, ifK=k+1 is then enabled, and repeats step 1) and step 2), is otherwise gone to step 4)；
4) by the N1A peak sidelobe value takes preceding 2 by sorting from small to largeBA peak sidelobe value, finds out these peaks
It is worth sidelobe level and is worth corresponding (B+klog2M) (k=0,1,2,3 ...) position binary bit sequence, as preferably two into
The preferred binary bit sequence is constituted set U by bit sequence processed1；B binary bit sequences are generated, set is constituted
U2, and establish mapping f1:U2→U1；It will set U1In binary bit sequence of the binary bit sequence as actual transmission.
3. the radar-communication integration Design of Signal method according to claim 1 based on MPSK-DSSS, feature exist
In the design of first sidelobe suppression filter includes the following steps：
1. according to radar-communication integration Signal Matching filter export s (τ) construct the first sidelobe suppression filter input to
Measure the expected response d of u and the first sidelobe suppression filter；
2. initializing the weight vector w (0) of the first sidelobe suppression filter, setting inverse correlation matrix P (0) and regularization coefficient
Value；
3. utilize recursive least squares, according to step 1. with step 2. in parameter, the gain vector of renewable time i successively
K (i), error e (i), weight vector w (i) and inverse correlation matrix P (i)；
4. whether error in judgement e (i) restrains, if not restraining, repeats step 3., if convergence, at this time weight vector w (i)
It is exactly the coefficient of the first sidelobe suppression filter.
4. the radar-communication integration Design of Signal method according to claim 2 based on MPSK-DSSS, feature exist
In the design of second sidelobe suppression filter includes the following steps：
(i) according to radar-communication integration Signal Matching filter export s (τ) construct the second sidelobe suppression filter input to
Measure the expected response d of u and the first sidelobe suppression filter；
(ii) the weight vector w (0) of the second sidelobe suppression filter is initialized, setting inverse correlation matrix P (0) and regularization coefficient
Value；
(iii) utilize recursive least squares, step (i) with step (ii) in parameter, the gain vector k of renewable time i successively
(i), error e (i), weight vector w (i) and inverse correlation matrix P (i)；
(iv) whether error in judgement e (i) restrains, if not restraining, repeats step (iii), if convergence, at this time weight vector w (i)
It is exactly the coefficient of the second sidelobe suppression filter.
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Cited By (2)
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| CN112710992A (en) * | 2020-12-17 | 2021-04-27 | 电子科技大学 | Radio frequency stealth radar communication integrated system and method based on four-dimensional antenna array |
| CN112866164A (en) * | 2021-01-11 | 2021-05-28 | 南京信息工程大学 | OFDM radar communication-based integrated signal sidelobe suppression method |
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