雙基地MIMO雷達(dá)雜波背景下的弱目標(biāo)檢測
發(fā)布時間:2018-01-13 23:23
本文關(guān)鍵詞:雙基地MIMO雷達(dá)雜波背景下的弱目標(biāo)檢測 出處:《電子科技大學(xué)》2015年碩士論文 論文類型:學(xué)位論文
更多相關(guān)文章: 雙基地MIMO雷達(dá) 雜波建模 恒虛警 目標(biāo)檢測 CLEAN算法
【摘要】:電子戰(zhàn)技術(shù)飛速發(fā)展,傳統(tǒng)單基地雷達(dá)和雙基地相控陣?yán)走_(dá)已很難滿足現(xiàn)代戰(zhàn)場復(fù)雜環(huán)境的需求,雙基地MIMO雷達(dá)結(jié)合雙/多基地雷達(dá)布陣方式和集中式MIMO雷達(dá)的優(yōu)勢,各發(fā)射通道發(fā)射信號彼此正交,具有更好的弱目標(biāo)檢測、抗低空突防、抗干擾以及射頻隱身性能,展示出更優(yōu)良的性能和發(fā)展?jié)摿。然而正是由于正交波形的使?雙基地MIMO雷達(dá)基本原理的研究和性能的分析方面和現(xiàn)有雷達(dá)體制存在很大差異,尤其是雜波建模和雜波背景下的弱目標(biāo)檢測問題,更趨復(fù)雜。本文針對雙基地MIMO雷達(dá)的基本特點(diǎn),提出了高效準(zhǔn)確的雜波模擬方法,推導(dǎo)了CA-CFAR以及OS-CFAR兩種恒虛警檢測在瑞利雜波背景下的檢測概率,分析了步進(jìn)頻分線性調(diào)頻(SFDLFM)信號的旁瓣問題,并與相控陣?yán)走_(dá)的弱目標(biāo)檢測能力進(jìn)行了對比。具體工作內(nèi)容包括以下幾點(diǎn):1、介紹了雙基地MIMO雷達(dá)目標(biāo)檢測基本架構(gòu)和信號處理流程;介紹了CA-CFAR和OS-CFAR兩種恒虛警檢測方法。2、給出了滿足發(fā)射角度分辨率、接收角度分辨率、距離分辨率的雜波單元劃分方法以及雜波散射系數(shù)和幅度起伏模擬方法,提出了采用雜波單元劃分預(yù)存儲的方法提高雜波模擬效率,通過仿真驗(yàn)證了其有效性。3、討論了CA-CFAR和OS-CFAR在考慮和不考慮目標(biāo)RCS起伏的情況下的檢測概率,推導(dǎo)了雙基地MIMO雷達(dá)信號處理后的信雜比輸出,由此得到了兩種恒虛警檢測下的檢測概率,并通過仿真進(jìn)行了驗(yàn)證;分析了SFDLFM信號的旁瓣問題;對比了MTI和CLEAN算法兩種雜波抑制算法對慢速目標(biāo)的檢測能力;仿真對比了旁瓣干擾下,CA-CFAR和OS-CFAR對臨近的強(qiáng)弱兩目標(biāo)的檢測性能。4、通過仿真和理論推導(dǎo),對比了雙基地MIMO雷達(dá)和相控陣?yán)走_(dá)在動態(tài)范圍、弱目標(biāo)檢測能力、距離分辨力、抗距離欺騙干擾方面的性能,體現(xiàn)了雙基地MIMO雷達(dá)的弱目標(biāo)檢測的優(yōu)勢和發(fā)展?jié)摿Α?br/>[Abstract]:With the rapid development of electronic warfare technology, the traditional mono-static radar and bistatic phased array radar have been difficult to meet the needs of modern battlefield complex environment. Bistatic MIMO radar combines the advantages of bistatic / multistatic radar array mode and centralized MIMO radar, each transmitting channel signal is orthogonal to each other, which has better weak target detection and anti-low altitude penetration. Anti-jamming and RF stealth performance show better performance and development potential. However, it is precisely because of the use of orthogonal waveforms. The basic principle and performance analysis of bistatic MIMO radar are very different from the existing radar systems, especially the modeling of clutter and weak target detection in clutter background. According to the basic characteristics of bistatic MIMO radar, an efficient and accurate clutter simulation method is proposed in this paper. The detection probability of CA-CFAR and OS-CFAR CFAR detection in Rayleigh clutter background is deduced, and the sidelobe problem of stepped frequency division linear frequency modulation (SFDL FM) signal is analyzed. And compared with the weak target detection ability of phased array radar. The specific work includes the following points: 1, introduces the basic structure and signal processing flow of bistatic MIMO radar target detection; In this paper, two CFAR detection methods, CA-CFAR and OS-CFAR, are introduced, and the transmission angle resolution and the receiving angle resolution are given. The clutter unit partition method and the clutter scattering coefficient and amplitude fluctuation simulation method are proposed to improve the clutter simulation efficiency. The effectiveness of the method is verified by simulation. The detection probability of CA-CFAR and OS-CFAR is discussed under the condition of considering or not considering the fluctuation of target RCS. The signal-to-clutter ratio output of bistatic MIMO radar signal processing is deduced, and the detection probability under two kinds of CFAR detection is obtained and verified by simulation. The sidelobe problem of SFDLFM signal is analyzed. The detection ability of MTI and CLEAN clutter suppression algorithms for slow targets is compared. The detection performance of CA-CFAR and OS-CFAR for adjacent targets under sidelobe interference is compared by simulation and theoretical derivation. The performances of bistatic MIMO radar and phased array radar in dynamic range, weak target detection ability, range resolution and range deception jamming are compared. The advantages and potential of weak target detection of bistatic MIMO radar are demonstrated.
【學(xué)位授予單位】:電子科技大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2015
【分類號】:TN957.51
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本文編號:1421025
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