本文選題：Simulink　切入點(diǎn)：雷達(dá)建模　出處：《國防科學(xué)技術(shù)大學(xué)》2014年碩士論文

【摘要】：論文針對某彈載雷達(dá)系統(tǒng)仿真及雜波抑制的關(guān)鍵問題,分別對某彈載雷達(dá)原型系統(tǒng)快速建模和雜波抑制算法進(jìn)行了研究。主要工作如下:第一章主要介紹了課題的研究背景和意義。首先對雷達(dá)系統(tǒng)原型快速仿真和運(yùn)用空時(shí)自適應(yīng)處理算法進(jìn)行雜波抑制的國內(nèi)外研究現(xiàn)狀進(jìn)行了比較全面的介紹,然后對本文的結(jié)構(gòu)進(jìn)行了詳細(xì)的梳理。第二章基于Simulink通用平臺建立了典型雷達(dá)系統(tǒng)的標(biāo)準(zhǔn)模塊庫。針對雷達(dá)系統(tǒng)搭建中模型不統(tǒng)一、調(diào)試復(fù)雜、仿真參數(shù)設(shè)置繁瑣等問題,本章系統(tǒng)地完成了雷達(dá)仿真信號子庫和信號處理子庫的建立,包括了LFM信號發(fā)生模塊、雜波發(fā)生模塊、匹配濾波模塊、MTI和MTD模塊、CFAR模塊以及人機(jī)交互GUI模塊等,方便了不同用戶按照不同需求配置進(jìn)行調(diào)用,豐富了現(xiàn)有Simulink平臺的庫函數(shù),為快速搭建某型雷達(dá)原型系統(tǒng)奠定了基礎(chǔ)。第三章以自建的標(biāo)準(zhǔn)雷達(dá)模塊庫為基礎(chǔ),搭建了某型調(diào)頻步進(jìn)雷達(dá)系統(tǒng)的原型。首先研究了目標(biāo)回波信號和雜波背景的數(shù)學(xué)模型,建立了前斜視通用雜波模型,并在Simulink上建立了相應(yīng)的模塊;接著,對天線方向圖和接收機(jī)模型進(jìn)行了簡要介紹;然后重點(diǎn)對調(diào)頻步進(jìn)雷達(dá)的信號處理流程進(jìn)行了分析,對調(diào)頻步進(jìn)雷達(dá)系統(tǒng)上兩種常用的目標(biāo)抽取算法進(jìn)行了詳細(xì)的分析和驗(yàn)證,并利用抽取后的距離像進(jìn)行了測角。最后通過仿真結(jié)果驗(yàn)證了各模塊的有效性。第四章深入研究了彈載雷達(dá)雜波的抑制算法。首先簡單介紹了STAP的基本原理;針對全空時(shí)STAP運(yùn)算量大、無法滿足實(shí)時(shí)處理的需求,不能應(yīng)用到彈載單脈沖雷達(dá)中等問題,本章研究了和差波束STAP算法。通過對STAP進(jìn)行降維處理從而降低運(yùn)算量,使得實(shí)時(shí)處理成為可能,而且通過降維空域自由度降為2,為STAP應(yīng)用到彈載單脈沖雷達(dá)提供了理論支撐;根據(jù)彈載應(yīng)用背景,將正側(cè)視和差波束STAP方法擴(kuò)展到斜前視場景,針對由此產(chǎn)生的雜波譜展寬問題,提出了基于前斜視???STAP的最小二乘雜波補(bǔ)償算法,實(shí)現(xiàn)了對前斜視場景雜波展寬的補(bǔ)償,然后對補(bǔ)償后的數(shù)據(jù)進(jìn)行了最優(yōu)匹配濾波和目標(biāo)檢測,取得了良好的效果;最后,為了進(jìn)一步提高算法的實(shí)時(shí)運(yùn)算性能,實(shí)現(xiàn)了一種多普勒域的降維方法——???3DT方法,并通過仿真結(jié)果表明了該方法在抑制雜波,降低運(yùn)算量上的優(yōu)越性。第五章對本文研究內(nèi)容進(jìn)行了全面的總結(jié),并指出了本文工作的不足之處以及對未來工作的展望。
[Abstract]:This paper aims at the key problems of radar system simulation and clutter suppression. The main work is as follows: chapter 1 mainly introduces the research background and significance of the research. First, the rapid simulation and operation of the prototype radar system are introduced. The research status of clutter suppression using space-time adaptive processing algorithm is introduced in detail. In chapter 2, the standard module library of typical radar system is established based on Simulink platform. In this chapter, the establishment of radar simulation signal sublibrary and signal processing sub-library is systematically completed, including LFM signal generation module, clutter generation module, matched filter module, MTD module and man-machine interactive GUI module, etc. It makes it convenient for different users to call according to different requirements, enriches the library functions of the existing Simulink platform, and lays the foundation for building a radar prototype system quickly. Chapter 3 is based on the standard radar module library built by ourselves. The prototype of a certain FM stepper radar system is built. Firstly, the mathematical model of target echo signal and clutter background is studied, and the general forward squint clutter model is established, and the corresponding module is established on Simulink. The antenna pattern and receiver model are briefly introduced, and then the signal processing flow of FM stepping radar is analyzed, and two commonly used target extraction algorithms are analyzed and verified in detail. Finally, the effectiveness of each module is verified by the simulation results. In chapter 4, the clutter suppression algorithm of missile-borne radar is deeply studied. Firstly, the basic principle of STAP is briefly introduced. In order to solve the problem that the total space-time STAP can not meet the demand of real-time processing and can not be applied to the monopulse radar, the sum and difference beam STAP algorithm is studied in this chapter. By reducing the dimension of STAP, the computation is reduced. It makes real-time processing possible, and reduces the degree of freedom in spatial domain to 2, which provides theoretical support for the application of STAP to monopulse radar. According to the background of missile-borne application, the forward and differential beam STAP method is extended to oblique forward view scene. In order to solve the problem of broadening the clutter spectrum, a forward strabismus method is proposed. ? ? The least square clutter compensation algorithm of STAP realizes the compensation of clutter broadening in forward strabismus scene, then the optimized matched filtering and target detection of the compensated data are carried out, and good results are obtained. In order to further improve the real-time performance of the algorithm, a dimension reduction method in Doppler domain is implemented. ? ? The 3DT method and the simulation results show the superiority of the method in suppressing clutter and reducing the computational complexity. Chapter 5 summarizes the research contents of this paper and points out the shortcomings of the work and the prospect of future work.
【學(xué)位授予單位】：國防科學(xué)技術(shù)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TN959

【參考文獻(xiàn)】

相關(guān)碩士學(xué)位論文 前1條

1 韓放;脈沖多普勒雷達(dá)信號處理仿真研究[D];哈爾濱工程大學(xué);2007年

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本文編號：1699143