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

【摘要】：隨著現(xiàn)代數(shù)字信號處理技術和高速信號處理器件的發(fā)展,實時處理復雜信號成為可能。面對復雜的電磁環(huán)境,雷達通信一體化系統(tǒng)的研究具有很重要的現(xiàn)實意義。一體化接收系統(tǒng)需要完成信號檢測、信號分離、參數(shù)估計、信號識別及分選等工作。其中,信號分離的結果將作為后續(xù)信號處理的輸入,因此,如何能夠有效地分離出高質量的信號,對于后續(xù)處理有重要意義。而參數(shù)的準確估計,也將對信號的正確識別、分選提供有效的參考。在此基礎上,本文結合實際項目實踐及當前的理論現(xiàn)狀,重點研究了雷達通信一體化接收機中的信號分離及參數(shù)估計算法,提出了一些適于工程實踐的算法。首先,本文基于雷達系統(tǒng)與通信系統(tǒng)的差異,討論了兩個系統(tǒng)一體化的可能性。在此基礎上,分析了幾種主要的通信信號、雷達信號的時頻域特點。其中,通信信號包括AM、FM、2FSK、BPSK、QPSK及16QAM信號,雷達信號包括相位編碼、頻率編碼、脈內脈間復合調制及頻率步進雷達信號。接下來重點研究了信號的分離技術及參數(shù)估計技術。在信號分離方面,提出了結合信號功率譜分析與獨立成分分析相結合的信號分離算法,有效平衡了分離性能與算法的實時性,通過高級語言仿真,達到了較好的分離效果。在參數(shù)估計方面,針對雷達信號的脈沖寬度、脈沖幅度、到達時間、載頻及通信信號的載波頻率、碼元速率等參數(shù)提出了相應的參數(shù)估計算法,算法適應于大多數(shù)信號,基本實現(xiàn)了盲估計。經(jīng)仿真測試,估計精度令人滿意。最后,整個算法在FPGA與DSP結合的硬件平臺上移植實現(xiàn),討論了DSP部分的硬件模塊設計及算法的優(yōu)化,并給出了硬件平臺上的驗證性測試結果。
[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.
【學位授予單位】：西安電子科技大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TN957.51

【參考文獻】

相關期刊論文 前1條

1 司偉建;蔣鵬;劉旭波;;改進的三次相位函數(shù)法LFM雷達信號參數(shù)估計[J];哈爾濱工程大學學報;2012年06期

相關博士學位論文 前1條

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

，

本文編號：1778219