本文選題：雷達(dá)通信一體化 + 信號(hào)分離��； 參考：《西安電子科技大學(xué)》2014年碩士論文

【摘要】：隨著現(xiàn)代數(shù)字信號(hào)處理技術(shù)和高速信號(hào)處理器件的發(fā)展,實(shí)時(shí)處理復(fù)雜信號(hào)成為可能。面對(duì)復(fù)雜的電磁環(huán)境,雷達(dá)通信一體化系統(tǒng)的研究具有很重要的現(xiàn)實(shí)意義。一體化接收系統(tǒng)需要完成信號(hào)檢測、信號(hào)分離、參數(shù)估計(jì)、信號(hào)識(shí)別及分選等工作。其中,信號(hào)分離的結(jié)果將作為后續(xù)信號(hào)處理的輸入,因此,如何能夠有效地分離出高質(zhì)量的信號(hào),對(duì)于后續(xù)處理有重要意義。而參數(shù)的準(zhǔn)確估計(jì),也將對(duì)信號(hào)的正確識(shí)別、分選提供有效的參考。在此基礎(chǔ)上,本文結(jié)合實(shí)際項(xiàng)目實(shí)踐及當(dāng)前的理論現(xiàn)狀,重點(diǎn)研究了雷達(dá)通信一體化接收機(jī)中的信號(hào)分離及參數(shù)估計(jì)算法,提出了一些適于工程實(shí)踐的算法。首先,本文基于雷達(dá)系統(tǒng)與通信系統(tǒng)的差異,討論了兩個(gè)系統(tǒng)一體化的可能性。在此基礎(chǔ)上,分析了幾種主要的通信信號(hào)、雷達(dá)信號(hào)的時(shí)頻域特點(diǎn)。其中,通信信號(hào)包括AM、FM、2FSK、BPSK、QPSK及16QAM信號(hào),雷達(dá)信號(hào)包括相位編碼、頻率編碼、脈內(nèi)脈間復(fù)合調(diào)制及頻率步進(jìn)雷達(dá)信號(hào)。接下來重點(diǎn)研究了信號(hào)的分離技術(shù)及參數(shù)估計(jì)技術(shù)。在信號(hào)分離方面,提出了結(jié)合信號(hào)功率譜分析與獨(dú)立成分分析相結(jié)合的信號(hào)分離算法,有效平衡了分離性能與算法的實(shí)時(shí)性,通過高級(jí)語言仿真,達(dá)到了較好的分離效果。在參數(shù)估計(jì)方面,針對(duì)雷達(dá)信號(hào)的脈沖寬度、脈沖幅度、到達(dá)時(shí)間、載頻及通信信號(hào)的載波頻率、碼元速率等參數(shù)提出了相應(yīng)的參數(shù)估計(jì)算法,算法適應(yīng)于大多數(shù)信號(hào),基本實(shí)現(xiàn)了盲估計(jì)。經(jīng)仿真測試,估計(jì)精度令人滿意。最后,整個(gè)算法在FPGA與DSP結(jié)合的硬件平臺(tái)上移植實(shí)現(xiàn),討論了DSP部分的硬件模塊設(shè)計(jì)及算法的優(yōu)化,并給出了硬件平臺(tái)上的驗(yàn)證性測試結(jié)果。
[Abstract]:With the development of modern digital signal processing technology and high speed signal processing devices, it is possible to process complex signals in real time. In the face of complex electromagnetic environment, the research of radar communication integration system has very important practical significance. Integrated receiving system needs to complete signal detection, signal separation, parameter estimation, signal recognition and sorting. Among them, the result of signal separation will be used as the input of subsequent signal processing. Therefore, how to effectively separate high quality signals is of great significance for subsequent processing. The accurate estimation of parameters will also provide an effective reference for the correct identification and sorting of signals. On this basis, combined with the actual project practice and current theoretical situation, this paper focuses on the research of signal separation and parameter estimation algorithms in the integrated radar communication receiver, and puts forward some algorithms suitable for engineering practice. Firstly, based on the difference between radar system and communication system, the possibility of integration of two systems is discussed. On this basis, the characteristics of several main communication signals, radar signals in time and frequency domain are analyzed. Among them, the communication signal includes AMFFM2FSK BPSK QPSK and 16QAM signal, and the radar signal includes phase coding, frequency coding, interpulse complex modulation and frequency step radar signal. Then, the separation technology and parameter estimation technology of signal are studied. In the aspect of signal separation, a signal separation algorithm combining power spectrum analysis and independent component analysis is proposed, which effectively balances the separation performance with the real-time performance of the algorithm, and achieves a good separation effect through advanced language simulation. In parameter estimation, a parameter estimation algorithm is proposed for the parameters of radar signal, such as pulse width, pulse amplitude, arrival time, carrier frequency and carrier frequency of communication signal, symbol rate, etc. The algorithm is suitable for most signals. Blind estimation is basically realized. The simulation results show that the estimation accuracy is satisfactory. Finally, the whole algorithm is implemented on the hardware platform which combines FPGA and DSP. The hardware module design and algorithm optimization of the DSP part are discussed, and the verification test results on the hardware platform are given.
【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)】：TN957.51

【參考文獻(xiàn)】

相關(guān)期刊論文 前1條

1 司偉建;蔣鵬;劉旭波;;改進(jìn)的三次相位函數(shù)法LFM雷達(dá)信號(hào)參數(shù)估計(jì)[J];哈爾濱工程大學(xué)學(xué)報(bào);2012年06期

相關(guān)博士學(xué)位論文 前1條

1 張雯雯;LPI雷達(dá)信號(hào)的消噪與參數(shù)估計(jì)研究[D];哈爾濱工程大學(xué);2009年

，

本文編號(hào)：1778219