Coherent signal source MIMO radar angle estimation method in non-stationary noise

Abstract

The present invention discloses a coherent signal source MIMO radar angle estimation method in non-stationary noise. The method concretely comprises the steps of: 1, performing system initialization;2, obtaining signal data being subjected to MIMO radar matching filter processing, and calculating a signal covariance matrix; 3, employing a conventional subspace algorithm to achieve angle estimation of an incoherent signal source; 4, constructing a new Toeplitz matrix; 5, rejecting the incoherent signal source, and obtaining a covariance matrix of the coherent signal source; 6, employing an m-Capon algorithm to perform angle estimation of the coherent signal source, and estimating a direction of arrival of a target; and 7, estimating a direction of departure of the target. The coherent signal source MIMO radar angle estimation method in non-stationary noise achieves angle estimation of the coherent signal source.

Description

technical field [0001] The present invention relates to the technical field of radar, and more specifically, relates to a method for estimating an angle of a coherent source MIMO radar under non-stationary noise. Background technique [0002] With the development of electronic warfare equipment, the electromagnetic environment of the battlefield becomes more and more complex. Using multiple input multiple output (MIMO) radar as a reconnaissance sensor will inevitably face the following two problems: First, due to the multipath effect or Electronic interference, the received signal is a mixture of coherent and non-coherent; second, when encountering spikes caused by ocean waves or flicker caused by large reflectors, the received noise will be non-stationary. The above problems restrict the wide application of MIMO radar in the military field to a certain extent, and it is urgent to find effective technical means to solve them. [0003] Literature Lay Teen Ong. Experimental s...

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Problems solved by technology

[0002] With the development of electronic warfare equipment, the electromagnetic environment of the battlefield becomes more and more complex. Using multiple input multiple output (MIMO) radar as a reconnaissance sensor will inevitably face the following two problems: First, due to the multipath effect or Electronic interference, the received signal is a mixture of coherent and incoherent; second, when encountering spikes caused by ocean waves or flicker caused by large reflectors, the received noise will be non-stationary

[0003] Literature Lay Teen Ong. Experimental study on spatial smoothing direction of arrival estimation for coherent signals[C]. 2016 IEEE Region 10Conference, Singapore, 2016: 1411-1414. And literature Yuta Kamiya, Nobuyoshi Kikuma, KunioSakakibara. DOA using estimation of desired -phase combining of multiple cyclic correlations and spatial smoothing processing[C]. 2016International Symposium on Antennas and Propagation, Okinawa, Japan, 2016: 1028-1029. The proposed smoothing algorithm can effectively solve multipath sources, but the array aperture loss is serious; literature Frank Meinl, Martin Kunert, Holger Blume. Hardware acceleration of Maximum-Likelihood angle estimation for automotive MIMO radars [C]. 2016 Conference on Design and Architectures for Signal and Image Processing, Rennes, France, 2016: 168-175. The maximum likelihood However, the Maximum likelihood (ML) algorithm can directly estimate the coherent signal source, but it requires high-dimensional spectral peak search, which requires a large amount of calculation; literature Chen Hui, Huang Benxiong, Deng Bin.A modified Toeplitz algorithm for DOA estimation of coherent signals[C] .Proceedings of 2007International Symposium on Intelligent Signal Processing and CommunicationSystems.Nov.28-Dec.1, 2007: 80-83 Separate and distinguish non-coherent and coherent sources to increase the number of resolvable sources number, but cannot resolve the noise nonstationary mismatch

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