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A Joint Generation Method of Radar Transmit Waveform and Receive Filter Weight Vector

A technology of receiving filters and transmitting waveforms, applied in the field of radar, can solve the problems of reduced signal-to-interference and noise ratio performance, affecting performance, difficult to solve, etc., and achieves the effect of high signal-to-interference and noise ratio and strong interference suppression.

Active Publication Date: 2022-06-28
成都锋行电子产品设计有限公司
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  • Description
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  • Application Information

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Problems solved by technology

Document "M.Bolhasani, E.Mehrshahi, and S.A.Ghorashi, "Waveform covariance matrix design for robust signal dependent interference suppression in colocated mimoradars," Signal Processing, vol.152, pp.311–319, 2018." (hereinafter referred to as document 2) A non-convex optimization method is further proposed, in which the rank of the waveform covariance matrix can be flexibly adjusted through energy allocation, but the performance of SINR in this method will decrease as the number of interference increases
[0005] Due to the limitation of the constant modulus constraint, the SINR optimization problem is always NP-hard, so it is difficult to solve
The lack of a direct approach to constant modulus constraints and receive filter weight vectors in existing waveform design methods also affects their performance

Method used

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  • A Joint Generation Method of Radar Transmit Waveform and Receive Filter Weight Vector
  • A Joint Generation Method of Radar Transmit Waveform and Receive Filter Weight Vector
  • A Joint Generation Method of Radar Transmit Waveform and Receive Filter Weight Vector

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Embodiment 1

[0061] Embodiment 1: definition:

[0062] Let the centralized MIMO radar system have M t root transmit antenna and M r Root receiving antenna. x m (n), m=1,..., M, n=1,..., N represent the transmit waveform of the mth antenna at the nth snapshot point. Both the transmitting and receiving arrays are half-wavelength uniform linear arrays, so the steering vector at the transmitting end is: The steering vector at the receiving end is

[0063] make Represents a waveform matrix. For a certain direction θ, the emission pattern is:

[0064]

[0065] in is the waveform covariance matrix.

[0066] The waveform received by the receiving array is:

[0067]

[0068] beta t Indicates the scattering coefficient of the target, β i Denotes the scattering coefficient of the i-th disturbance, θ 0 is the orientation angle of the target, θ i is the orientation angle of the i-th disturbance. is a zero mean with a variance of Gaussian white noise.

[0069] Therefore, th...

Embodiment 2

[0114] Set the same scene as Document 1: transmitting antenna M=16, receiving antenna M r = 16, the target direction is θ 0 =0°, the direction angle θ of the three disturbances i ∈ {-40°, 25°, 60°}. Other parameters of the proposed method of the present invention are set as follows: snapshot number N=4, signal-to-noise ratio δ=20dB, and the drying ratio of three interferences is η i =30dB(i=1,2,3), weight factor ρ=10 -7 , k max =1500, ε=10 -8 , random constant modulus waveform x 0 . Existing Method 1 in Document 1 and Existing Method 2 in Document 2 will be compared.

[0115] First, the convergence of the proposed method is evaluated. The weighting factors were varied and the corresponding objective function values ​​were calculated. figure 1 It shows the curve that the objective function value decreases with iterations and finally converges under different weight factors. It can be seen that the convergence performance of the proposed method is very good, and the nu...

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Abstract

The invention discloses a joint generation method of a radar transmitting waveform and a receiving filter weight vector, relates to the technical field of radar, and solves the problem that the existing waveform design method lacks direct methods for constant modulus constraints and receiving filter weight vectors. The invention includes concentrating the transmission energy of the MIMO radar in the target direction, and forming a notch in the interference direction at the same time, converting the non-convex optimization problem about the SINR value with a weight factor into an unconstrained optimization problem on the Riemannian manifold, And using the RCG algorithm in the Riemann conjugate gradient descent method, it is necessary to continuously approach the optimal solution through iteration. The invention has a stronger ability to suppress interference and obtains a higher signal-to-interference-noise ratio.

Description

technical field [0001] The invention relates to the technical field of radar, in particular to a joint generation method of a radar transmitting waveform and a receiving filter weight vector. Background technique [0002] MIMO (Multiple-Input Multiple-Output) radar and phased array radar have similar antenna arrays, but unlike phased array radar, MIMO radar can transmit independent signal components, which can improve the SINR of MIMO radar ( signal-to-interference-plus-noise ratio, signal-to-interference-plus-noise ratio) performance. [0003] In practical scenarios, since the radar transmitter always works in a saturated state in order to avoid waveform distortion, constant modulus constraints are constraints that must be added in waveform design, and research on waveform design under constant modulus constraints has also attracted widespread attention. Among them, it is one of the main research directions of MIMO waveform optimization to fully suppress interference throu...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S13/02G01S7/02G06F17/16
CPCG01S13/02G01S7/02G06F17/16
Inventor 王鹏飞张伟见胡进峰钟凯李玉枝邹欣颖董重魏志勇
Owner 成都锋行电子产品设计有限公司
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