本文選題：高速機動目標 + 相參積累��； 參考：《電子科技大學》2017年博士論文

【摘要】：通過增加觀測時間并采用長時間相參積累可以有效的提高回波信噪比與雷達對微弱目標的探測能力。然而,在相參積累過程中目標的高速度與機動性會導致距離走動與多普勒走動的產(chǎn)生,使得傳統(tǒng)的相參積累算法失效。本文針對上述問題,研究了高速機動目標長時間相參積累算法。本論文的主要工作與貢獻如下:1、提出了RLVD和KTLVD兩種勻加速目標相參積累算法,解決了距離走動校正和多普勒走動補償問題,實現(xiàn)了微弱目標回波能量的相參積累,提高了低信噪比下目標的檢測性能。2、提出了KTGDP和KTCPF兩種相參積累算法,解決了變加速運動目標的線性距離走動校正與復雜多普勒走動補償問題,實現(xiàn)了目標運動參數(shù)的估計;提出了基于CLEAN處理的多目標相參積累算法,實現(xiàn)了目標相互干擾下的多目標能量積累與參數(shù)估計。3、提出了GKTGDP和TRT-SKT-LVD兩種相參積累算法,校正了變加速目標的三階距離走動,實現(xiàn)了目標能量的相參積累,較好的解決了高速目標相參積累中的盲速旁瓣問題。4、提出了ACCF-LVD和迭代ACCF兩種相參積累算法,通過互相關函數(shù)消除了變加速目標的多普勒彎曲和距離走動,快速的實現(xiàn)了目標回波能量的相參積累與運動參數(shù)估計,降低了運算復雜度。5、針對高階機動目標的相參積累問題,提出了循環(huán)迭代ACCF相參積累算法,無需參數(shù)搜索過程,大幅度降低了計算量;提出了TRT-SGRFT相參積累算法,提高了目標檢測性能與參數(shù)估計精度,解決了盲速旁瓣問題。
[Abstract]:The signal to noise ratio (SNR) of echo and the ability of radar to detect weak targets can be improved effectively by increasing the observation time and using long time coherent accumulation. However, the high speed and maneuverability of the target in the process of coherent accumulation will lead to the generation of range walk and Doppler walk, which makes the traditional coherent accumulation algorithm ineffective. In this paper, the long-time coherent accumulation algorithm for high-speed maneuvering targets is studied. The main work and contributions of this paper are as follows: 1. Two uniform acceleration target coherence accumulation algorithms, RLVD and KTLVD, are proposed, which solve the range walk correction and Doppler walk compensation problems, and realize the coherent accumulation of echo energy of weak targets. The detection performance of target under low SNR is improved. Two coherent accumulation algorithms, KTGDP and KTCPF, are proposed to solve the problem of linear range walk correction and complex Doppler walk compensation of variable speed moving target, and the estimation of target motion parameters is realized. In this paper, a multi-target coherent accumulation algorithm based on CLEAN processing is proposed, which realizes the energy accumulation and parameter estimation of multiple targets under the interference of each other. It also proposes two coherent integration algorithms, GKTGDP and TRT-SKT-LVD, and corrects the third-order distance walk of the variable acceleration target. The coherent accumulation of target energy is realized, and the blind sidelobe problem of high speed target coherent accumulation is solved. Two coherent integration algorithms, ACCF-LVD and iterative ACCF, are proposed. The Doppler curvature and range walk of variable acceleration target are eliminated by cross-correlation function, the coherent accumulation of echo energy and motion parameter estimation are realized quickly, and the computational complexity is reduced. 5, aiming at the problem of coherent accumulation of high order maneuvering target, A cyclic iterative ACCF coherent accumulation algorithm is proposed, which can greatly reduce the computational complexity without parameter searching, and TRT-SGRFT coherent accumulation algorithm is proposed to improve the performance of target detection and the accuracy of parameter estimation, thus solving the blind speed sidelobe problem.
【學位授予單位】：電子科技大學
【學位級別】：博士
【學位授予年份】：2017
【分類號】：TN957.51

【參考文獻】

相關期刊論文 前8條

1 吳仁彪;馬，

本文編號：1876664