雷達(dá)旁瓣相消和雜波抑制的研究與實(shí)現(xiàn)
發(fā)布時(shí)間:2018-05-15 00:27
本文選題:旁瓣相消 + 動(dòng)目標(biāo)顯示; 參考:《西安電子科技大學(xué)》2014年碩士論文
【摘要】:雷達(dá)接收到的回波信息中通常包含目標(biāo)、雜波、干擾和接收機(jī)噪聲,而且雜波和干擾信號(hào)通常要比目標(biāo)信號(hào)強(qiáng)很多,這會(huì)嚴(yán)重影響雷達(dá)的正常工作。雷達(dá)信號(hào)處理的重要內(nèi)容就是要從復(fù)雜的回波信號(hào)中提取出感興趣的目標(biāo)信號(hào)。旁瓣相消是雷達(dá)抗旁瓣有源干擾既經(jīng)濟(jì)又有效的技術(shù)。開環(huán)自適應(yīng)旁瓣相消是基于最小均方誤差準(zhǔn)則計(jì)算最優(yōu)權(quán)系數(shù),之后將權(quán)系數(shù)應(yīng)用于旁瓣相消系統(tǒng)中,它可以根據(jù)輸入信號(hào)的變化自動(dòng)地修正權(quán)系數(shù)。理論分析中,自適應(yīng)旁瓣相消技術(shù)可以很好地抗有源旁瓣干擾,但是實(shí)際中往往出現(xiàn)相消效果不理想的情況。本文對(duì)影響自適應(yīng)旁瓣相消性能的因素進(jìn)行了較為詳細(xì)地分析說明,這也是在工程實(shí)踐中需要注意的問題。動(dòng)目標(biāo)顯示技術(shù)和動(dòng)目標(biāo)檢測技術(shù)是雷達(dá)進(jìn)行雜波抑制的主要技術(shù),它們是基于雜波信號(hào)與目標(biāo)回波信號(hào)在頻譜上的差異,利用濾波器將雜波消除掉,進(jìn)而提取出目標(biāo)信息。常規(guī)動(dòng)目標(biāo)顯示濾波器頻率特性是周期性的,往往會(huì)使得盲速目標(biāo)也被消除,可以利用參差重復(fù)頻率技術(shù)將第一盲速推到較遠(yuǎn)的多普勒頻率處,以滿足工程實(shí)踐的要求。對(duì)于氣象、箔條等動(dòng)雜波采用自適應(yīng)動(dòng)目標(biāo)顯示實(shí)現(xiàn)對(duì)動(dòng)雜波的抑制。自適應(yīng)動(dòng)目標(biāo)顯示的重要內(nèi)容是對(duì)動(dòng)雜波譜中心的估計(jì),本文采用了質(zhì)心法較為準(zhǔn)確地估計(jì)動(dòng)雜波譜中心并將其應(yīng)有于工程實(shí)踐中,實(shí)踐效果驗(yàn)證了該方法的正確性。動(dòng)目標(biāo)顯示技術(shù)的核心內(nèi)容是雜波抑制濾波器的優(yōu)化設(shè)計(jì),本文給出了優(yōu)化設(shè)計(jì)濾波器的常用方法。工程實(shí)現(xiàn)部分,本文闡述了基于數(shù)據(jù)流驅(qū)動(dòng)的雷達(dá)信號(hào)處理系統(tǒng)運(yùn)行的基本原理。將數(shù)據(jù)流思想應(yīng)用于雷達(dá)信號(hào)處理系統(tǒng)中,整個(gè)雷達(dá)系統(tǒng)的工作完全靠數(shù)據(jù)流驅(qū)動(dòng)而不再有統(tǒng)一的時(shí)序控制,這也是雷達(dá)信號(hào)處理系統(tǒng)發(fā)展的一個(gè)方向。對(duì)旁瓣相消和雜波抑制的硬件平臺(tái)進(jìn)行了描述,對(duì)旁瓣相消和雜波抑制的數(shù)字信號(hào)處理器(Digital Signal Processor,DSP)實(shí)現(xiàn)進(jìn)行了詳細(xì)流程說明。旁瓣相消部分,詳細(xì)說明DSP計(jì)算旁瓣相消權(quán)系數(shù)的流程并給出實(shí)測數(shù)據(jù)分析的結(jié)果。雜波抑制部分,對(duì)雜波抑制DSP程序中的主要功能模塊加以說明,詳細(xì)說明了自適應(yīng)動(dòng)目標(biāo)顯示技術(shù)的工程實(shí)現(xiàn)并給出了雷達(dá)終端顯示的實(shí)測效果圖。對(duì)工程中遇到的主要問題及其解決技巧進(jìn)行詳細(xì)闡述,包括自適應(yīng)延時(shí)控制和連續(xù)方位選大問題。
[Abstract]:Radar echo information usually contains target clutter interference and receiver noise and the clutter and jamming signal is usually much stronger than the target signal which will seriously affect the normal operation of radar. The important content of radar signal processing is to extract the target signal of interest from the complex echo signal. Sidelobe cancellation is an economical and effective technique for radar to resist sidelobe active jamming. The open-loop adaptive sidelobe cancellation is based on the least mean square error criterion to calculate the optimal weight coefficient. Then the weight coefficient is applied to the sidelobe cancellation system. It can automatically correct the weight coefficient according to the change of input signal. In theoretical analysis, adaptive sidelobe cancellation technology can resist the active sidelobe interference well, but in practice, the cancellation effect is often not satisfactory. In this paper, the factors affecting the performance of adaptive sidelobe cancellation are analyzed in detail, which is also a problem needing attention in engineering practice. Moving target display technology and moving target detection technology are the main technologies of radar clutter suppression. They are based on the difference between clutter signal and target echo signal in the spectrum. The clutter is eliminated by filter and then the target information is extracted. Conventional moving targets show that the frequency characteristics of the filter are periodic, which often eliminates the blind velocity target. The staggered repetition rate technique can be used to push the first blind velocity to the far Doppler frequency to meet the requirements of engineering practice. For weather, chaff iso-dynamic clutter is suppressed by adaptive moving target display. The important content of adaptive moving target display is to estimate the center of moving clutter spectrum. In this paper, the centroid method is used to estimate the center of moving clutter spectrum accurately and it should be applied in engineering practice. The practical results show that the method is correct. The key content of moving target display technology is the optimal design of clutter suppression filter. In the part of engineering realization, the basic principle of radar signal processing system based on data stream driving is described in this paper. The idea of data flow is applied to the radar signal processing system. The work of the whole radar system is driven by the data flow and there is no unified time series control, which is also a developing direction of the radar signal processing system. The hardware platform of sidelobe cancellation and clutter suppression is described, and the implementation of digital signal processor digital Signal processor for sidelobe cancellation and clutter suppression is described in detail. In the part of sidelobe cancellation, the flow of calculating sidelobe cancellation coefficient by DSP is explained in detail, and the analysis results of measured data are given. In the clutter suppression part, the main function modules in the clutter suppression DSP program are explained, the engineering realization of the adaptive moving target display technology is described in detail, and the actual effect diagram of the radar terminal display is given. The main problems encountered in engineering and their solving techniques are described in detail, including adaptive delay control and continuous azimuth selection.
【學(xué)位授予單位】:西安電子科技大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:TN957.5
【參考文獻(xiàn)】
相關(guān)期刊論文 前1條
1 潘瑞云;胡萬坤;;FIR窄帶濾波器組在現(xiàn)代雷達(dá)中的實(shí)現(xiàn)和優(yōu)化方法[J];雷達(dá)與對(duì)抗;2012年03期
,本文編號(hào):1890157
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