本文選題：高速機(jī)動(dòng)目標(biāo) + 相參積累��； 參考：《電子科技大學(xué)》2017年博士論文

【摘要】：通過增加觀測(cè)時(shí)間并采用長(zhǎng)時(shí)間相參積累可以有效的提高回波信噪比與雷達(dá)對(duì)微弱目標(biāo)的探測(cè)能力。然而,在相參積累過程中目標(biāo)的高速度與機(jī)動(dòng)性會(huì)導(dǎo)致距離走動(dòng)與多普勒走動(dòng)的產(chǎn)生,使得傳統(tǒng)的相參積累算法失效。本文針對(duì)上述問題,研究了高速機(jī)動(dòng)目標(biāo)長(zhǎng)時(shí)間相參積累算法。本論文的主要工作與貢獻(xiàn)如下:1、提出了RLVD和KTLVD兩種勻加速目標(biāo)相參積累算法,解決了距離走動(dòng)校正和多普勒走動(dòng)補(bǔ)償問題,實(shí)現(xiàn)了微弱目標(biāo)回波能量的相參積累,提高了低信噪比下目標(biāo)的檢測(cè)性能。2、提出了KTGDP和KTCPF兩種相參積累算法,解決了變加速運(yùn)動(dòng)目標(biāo)的線性距離走動(dòng)校正與復(fù)雜多普勒走動(dòng)補(bǔ)償問題,實(shí)現(xiàn)了目標(biāo)運(yùn)動(dòng)參數(shù)的估計(jì);提出了基于CLEAN處理的多目標(biāo)相參積累算法,實(shí)現(xiàn)了目標(biāo)相互干擾下的多目標(biāo)能量積累與參數(shù)估計(jì)。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(biāo)的三階距離走動(dòng),實(shí)現(xiàn)了目標(biāo)能量的相參積累,較好的解決了高速目標(biāo)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(guān)函數(shù)消除了變加速目標(biāo)的多普勒彎曲和距離走動(dòng),快速的實(shí)現(xiàn)了目標(biāo)回波能量的相參積累與運(yùn)動(dòng)參數(shù)估計(jì),降低了運(yùn)算復(fù)雜度。5、針對(duì)高階機(jī)動(dòng)目標(biāo)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(jì)算量;提出了TRT-SGRFT相參積累算法,提高了目標(biāo)檢測(cè)性能與參數(shù)估計(jì)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(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2017
【分類號(hào)】：TN957.51

【參考文獻(xiàn)】

相關(guān)期刊論文 前8條

1 吳仁彪;馬，

本文編號(hào)：1876664