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Robust Space-Time Adaptive Processing Method for Radar Based on Iterative Subspace Tracking Algorithm

A space-time adaptive and tracking algorithm technology, applied in the field of radar, can solve the problems of reducing the number of data, affecting the effect of space-time adaptive processing, etc., to achieve the effect of low time complexity and robust space-time adaptive processing process

Active Publication Date: 2017-07-18
XIDIAN UNIV
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Problems solved by technology

These methods all reduce the distance dependence of clutter by removing the space-time mismatched data, but this will reduce the number of training samples, thus affecting the effect of space-time adaptive processing

Method used

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  • Robust Space-Time Adaptive Processing Method for Radar Based on Iterative Subspace Tracking Algorithm
  • Robust Space-Time Adaptive Processing Method for Radar Based on Iterative Subspace Tracking Algorithm
  • Robust Space-Time Adaptive Processing Method for Radar Based on Iterative Subspace Tracking Algorithm

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Embodiment Construction

[0028] Reference figure 1 , The radar robust space-time adaptive processing method based on the iterative subspace tracking algorithm of the present invention includes the following specific steps:

[0029] Step 1. First, it is known that the space-time data matrix X received by the radar is:

[0030]

[0031] Among them, x(n,k) is the received data of the nth antenna and the kth pulse, n=1, 2,..., N, N is the number of antennas, k=1, 2,..., K, K is the number of pulses;

[0032] Then, according to the space-time data matrix X received by the radar, the two-dimensional space-time adaptive processing of the space / slow time information contained in the angle-Doppler domain is obtained by the maximum likelihood estimation principle, that is, the space of P distance units is obtained. -Time data matrix, where the space-time data matrix X of the p-th distance unit p for:

[0033]

[0034] Where x p (n,k) is the received data of the p-th distance unit in the received data of the nth antenn...

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Abstract

The invention discloses a radar robust space-time adaption processing method based on an iterative subspace tracking algorithm. The method comprises the following steps of (1) according to a space-time data matrix X received by a known radar, acquiring P space-time data matrixes of a distance unit; (2) according to the space-time data matrix X received by the radar, writing a corresponding space-time adaptive weight matrix W as the following equation: W=uvT, and giving an optimization problem which is used to solve a space weight vector u and a time weight vector v, wherein the optimization problem is defined in the description; (3) using the iterative subspace tracking algorithm to solve and acquire the space weight vector u and the time weight vector v and calculating a robust space-time steering vector s; (4) carrying out Kronecker product on the robust space-time steering vector s and the space-time data matrix X received by the radar so as to obtain a radar space-time data matrix after adaptive space-time processing so that a target signal after the adaptive space-time processing is obtained.

Description

Technical field [0001] The invention belongs to the field of radar technology, and relates to a radar robust space-time adaptive processing method based on an iterative subspace tracking algorithm, which is used to process spatial information and slow-time information separately in the case of limited samples to reduce non-uniformity The influence of distributed clutter. Background technique [0002] Space-time adaptive processing (STAP) is a powerful tool for clutter suppression on moving platforms, and it is widely used in airborne radars. The statistical characteristics of clutter, interference and noise are exactly known (that is, the covariance matrix of the clutter, interference, and noise is known). The space-time adaptive system is considered to be the best method for detecting moving targets. The best way to detect weak moving targets under changing clutter and interference. In space-time adaptive processing, the clutter covariance matrix is ​​calculated from the auxil...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S7/36
CPCG01S7/36
Inventor 朱圣棋廖桂生刘飞扬霍恩来许京伟王渊
Owner XIDIAN UNIV
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