基于IAA的多通道SAR系統(tǒng)目標測速新方法
發(fā)布時間:2018-05-28 09:24
本文選題:合成孔徑雷達運動目標指示 + 迭代自適應算法 ; 參考:《電波科學學報》2014年03期
【摘要】:研究了多通道合成孔徑雷達地面動目標檢測(Synthetic Aperture Radar and Ground Moving Target Indication,SAR-GMTI)系統(tǒng)的目標參數(shù)估計問題,提出了一種非參的基于迭代自適應方法的速度估計算法(Iterative Adaptive Approach based Velocity Estimation,IAA-VE).該算法的核心思想是將SAR系統(tǒng)的參數(shù)估計問題轉(zhuǎn)化為陣列處理中的幅相估計問題.具體而言,構(gòu)建一個目標徑向速度的陣列流形,通過遞歸方法求解一個加權(quán)最小二乘的代價函數(shù),實現(xiàn)對目標信號的復幅度和徑向速度的精確估計.仿真結(jié)果表明:IAA-VE算法能夠精確高效地估計目標徑向速度.另外,實驗表明IAA-VE的性能優(yōu)于已有的一系列參數(shù)估計方法.
[Abstract]:In this paper, the problem of target parameter estimation in synthetic Aperture Radar and Ground Moving Target determination (SAR-GMTI) system for multi-channel SAR ground moving target detection is studied. A non-parametric iterative adaptive method based velocity estimation algorithm is proposed. The key idea of the algorithm is to transform the parameter estimation problem of SAR system into the amplitude and phase estimation problem in array processing. In particular, an array manifold of the radial velocity of the target is constructed, and a cost function of the weighted least squares is solved by recursive method to estimate accurately the complex amplitude and radial velocity of the target signal. The simulation results show that the ratio IAA-VE algorithm can accurately and efficiently estimate the radial velocity of the target. In addition, experiments show that the performance of IAA-VE is better than that of a series of existing parameter estimation methods.
【作者單位】: 中國電子科技集團公司電子科學研究院;西安電子科技大學雷達信號處理國防科技重點實驗室;
【分類號】:TN957.51
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1 李琪;海雜波背景下的目標檢測算法[D];西安電子科技大學;2013年
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