Optimal detection method based on centralized MIMO radar data structure features

A technology of structural features and radar data, applied in radio wave measurement systems, instruments, etc., can solve the problems of MIMO radar target detection and poor parameter estimation performance, and achieve the effect of short running time and improved detection probability

Inactive Publication Date: 2022-01-11
QUANZHOU INST OF INFORMATION ENG
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Problems solved by technology

[0005] In order to overcome the above-mentioned deficiencies, the purpose of the present invention is to provide a kind of optimal detection method based on centralized MIMO radar data structure feature to the art, so that it can solve the technical problems of existing MIMO radar target detection and poor performance of parameter estimation

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  • Optimal detection method based on centralized MIMO radar data structure features
  • Optimal detection method based on centralized MIMO radar data structure features
  • Optimal detection method based on centralized MIMO radar data structure features

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Embodiment Construction

[0115] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0116] The basic idea of ​​the present invention is to use the oblique symmetric structure to carry out weighted processing on the three methods of increasing the detection probability, reducing the parameter estimation variance and suppressing the side lobe, and determine the optimal parameters by using the golden ratio method, so that the achieved results are optimal. Specifically include the following steps:

[0117] 1. Centralized MIMO radar target detection signal model.

[0118] Assume that the number of transmitting antennas in the MIMO radar is M, and set the number of receiving antennas as the s m (k) represents the baseband signal transmitted by the mth transmit antenna, k=1, 2, ..., K, K is the number of samples, The vector in the receiving direction is perfectly symmetric, s m (k) is defined as follows:

[0119]

[0120] T...

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Abstract

The invention belongs to the field of MIMO radar related target detection and parameter estimation performance, and relates to an optimal detection method based on centralized MIMO radar data structure features. According to the method, the covariance skew symmetry characteristic of received data is utilized, and a linear programming target detection method under the generalized likelihood ratio criterion is provided. An oblique symmetric structure is used, weighting processing is carried out on three methods of improving the detection probability, reducing the parameter estimation variance and suppressing the side lobe, and optimal parameters are determined by using a golden proportional segmentation method, so that the achieved result is optimal. Simulation results show that the radar target detection probability can be improved, the parameter estimation accuracy can be improved, meanwhile, side lobes can be well restrained, and the operation time is shorter.

Description

technical field [0001] The invention belongs to the field of MIMO radar related target detection and parameter estimation performance, in particular to an optimal detection method based on centralized MIMO radar data structure characteristics. Background technique [0002] The radar system of MIMO radar can use a large number of antennas to process input and output signals, combining the theoretical basis of MIMO with the practical application of radar. Compared with past radars, MIMO radar has extremely good efficiency. [0003] When optimizing the design of MIMO radar transmission signals, it is necessary to consider improving the detection probability, reducing the variance of parameter estimation and suppressing side lobes at the same time. In terms of improving the detection probability, there is an open use of the autoregressive model to detect moving targets, and the clutter is built into a model of the autoregressive process. In the detection process, the fully adap...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/28G01S7/292
CPCG01S7/2813G01S7/2923
Inventor 裴炳南张豪生裴腾达张思远
Owner QUANZHOU INST OF INFORMATION ENG
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