Iteration-adaptive-algorithm-based method for detecting coherent MIMO radar target

An iterative adaptive, radar target technology, applied in measurement devices, radio wave measurement systems, radio wave reflection/re-radiation and other directions, can solve the increase of clutter degrees of freedom, STAP algorithm can not obtain enough to meet the independent and identical distribution conditions It is difficult to obtain training samples and auxiliary data, etc.

Inactive Publication Date: 2013-08-21
HOHAI UNIV
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Problems solved by technology

[0005] The coherent MIMO radar space-time adaptive processing method in the prior art has a sharp increase in the degree of freedom of clutter due to suppressive interference in a complex electromagnetic environment, and the degree of freedom of the traditional adaptive processing algorithm (STAP) cannot meet the requirements of clutter suppression ; Deceptive interference leads to severe non-uniform distribution of clutter, making it impossible for the STAP algorithm to obtain enough training samples that satis

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  • Iteration-adaptive-algorithm-based method for detecting coherent MIMO radar target
  • Iteration-adaptive-algorithm-based method for detecting coherent MIMO radar target
  • Iteration-adaptive-algorithm-based method for detecting coherent MIMO radar target

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Embodiment Construction

[0058] Such as figure 1 As shown, a coherent MIMO radar target detection method based on an iterative adaptive algorithm of the present invention obtains its position parameters by optimizing the reflection coefficients of the moving target and the static target respectively, specifically:

[0059] A When the observation target is a static target, the Doppler effect is not considered

[0060] A1. Determine the relationship model between the first echo signal observed at the nth observation point and the transmitted signal, the reflection coefficient of the target and noise interference as follows:

[0061] Y H ( n ) = Σ r = 1 P Σ a = 1 K α r , ...

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Abstract

The invention discloses an iteration-adaptive-algorithm-based method for detecting a coherent MIMO radar target. First, a relation model among a first echo signal, a transmitting signal reflection coefficients and noise interference of the target is confirmed, wherein the relation model is observed on the n observation point, secondly, the relation model is linearized, further the reflection coefficients of the target are initialized through a delayed superposition DAS algorithm, and finally, a bayesian model order selecting tool is used for optimizing the reflection coefficients of the target. An iteration adaptive algorithm can effectively solve existing encountered problems of moving target parameter detection and greatly improves accuracy of detecting of the coherent MIMO radar moving target.

Description

technical field [0001] The invention relates to a MIMO radar target detection method, in particular to a coherent MIMO radar target detection method based on an iterative adaptive algorithm. Background technique [0002] Compared with phased array radar, multiple-input multiple-output (MIMO) radar has higher detection performance for weak targets, good anti-stealth effect and good anti-destruction ability, which has attracted more and more scholars to study it. MIMO radar can generally be divided into two categories: the first category is statistical MIMO radar or incoherent MIMO radar, that is, the antenna elements are sparsely distributed in space, so that space diversity gain can be obtained, and the influence of target RCS fluctuation on radar detection performance can be effectively overcome; The second type is coherent MIMO, which can form a large virtual array aperture with fewer antenna arrays, which improves the radar angular resolution and interference suppression ...

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Application Information

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IPC IPC(8): G01S13/06G01S13/50G01S7/36
Inventor 王婧曹宁鹿浩
Owner HOHAI UNIV
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