Double-base MIMO radar angle estimation method in colored noise background

A technology of colored noise and angle estimation, applied in the direction of radio wave reflection/re-radiation, radio wave direction finder, measuring device, etc. yuan and other issues

Inactive Publication Date: 2018-12-11
YANGTZE UNIVERSITY
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Problems solved by technology

Wen et al. extended the tensor to further improve the accuracy of the algorithm (Wen F, Zhang Z, Zhang G, et al. A tensor-based covariance differencing method for direction estimation in bistatic MIMO radar with unknown spatial colored noise[J].IEEE Access ,2017,5:18451-18458.), however, this method requires no

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  • Double-base MIMO radar angle estimation method in colored noise background
  • Double-base MIMO radar angle estimation method in colored noise background
  • Double-base MIMO radar angle estimation method in colored noise background

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[0020] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention and are not intended to limit the invention.

[0021] The present invention provides a bistatic MIMO radar angle estimation method under a colored noise background. The bistatic MIMO radar angle estimation method under the colored noise background includes the following steps:

[0022] S1. Perform matched filter processing on the received array data, estimate the cross-covariance matrix of the received data, and construct a fourth-order tensor model of the cross-covariance matrix;

[0023] S2. Initialize the receiving direction matrix, the transmitting direction matrix, and the target covariance matrix, wherein the ESPRIT algorithm...

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Abstract

The invention discloses a double-base MIMO radar angle estimation method in colored noise background. Reception array data is matched and filtered, a cross covariance matrix of the reception data is estimated, and a four-order tensor model of the cross covariance matrix is established; a reception direction matrix, an emission direction matrix and a target covariance matrix are initialized, an ESPRIT algorithm is used to initialize the reception direction matrix and the emission direction matrix, and the target cross covariance matrix is initialized into a unit matrix; an alternative least square method is used to carry out iterative computation on the reception direction matrix, emission direction matrix and target covariance matrix till a convergence condition is met; and the least square method is used to estimate target DOD and DOA. Colored noise in the spatial domain is inhibited by using non-relevant characteristic of different fast-beat output noise, all freedom-degree information of array elements is used, the estimation precision is high, and there is no aperture loss.

Description

technical field [0001] The invention relates to a radar signal processing technology, in particular to a bistatic MIMO radar angle estimation method under the background of colored noise. Background technique [0002] The Multiple-input Multiple-output (MIMO) system has great advantages in anti-interference and anti-attenuation. It is the core technology of 5G in the future and the mainstream direction of radar detection in the future. Different from the existing phased array radar system, MIMO radar adopts the signal processing mode of multiple transmission and multiple reception, and uses diversity gain to greatly improve the target detection performance. Compared with traditional phased array radar systems, MIMO radar has potential advantages in terms of resolution, anti-fading, identifiability, and noise suppression. According to the different configurations of MIMO radar transceiver elements, MIMO radars can be divided into two categories: statistical MIMO radars and c...

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Application Information

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IPC IPC(8): G01S3/74G01S13/00G01S7/41G01S7/42
CPCG01S3/74G01S7/41G01S7/42G01S13/003
Inventor 张政蔡昌新文方青
Owner YANGTZE UNIVERSITY
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