MIMO测量雷达目标定位技术研究

发布时间：2018-05-08 12:27

本文选题：MIMO雷达 + 波形设计　；参考：《南京理工大学》2014年硕士论文

【摘要】：MIMO (Multiple Input Multiple Output)雷达是一种新型雷达,MIMO的技术引自于通信技术,在雷达领域一经提出就受到广泛关注,虽然MIMO雷达在实际应用中还有很多问题要考虑,但是作为新型高性能雷达,对MIMO雷达的深入研究有很大意义。本文首先对MIMO雷达的概念和国内外发展动态做了简单描述,研究共址式和统计式两种形式的MIMO雷达,分别对比优缺点,并描述MIMO雷达作为测量雷达的优越性。接下来讨论MIMO雷达发射波形的正交性能,从相关特性方面分别给出正交频分复用-线性调频信号、二相编码信号、随机多相码信号等的仿真对比图。然后分析MIMO雷达的信号处理流程,用MUSIC和Capon算法对目标进行角度估计,发现MUSIC算法的测角精度比Capon算法高,但是计算量大。之后对比稀疏布阵情况下两种算法对于目标参数估计的差异,同时针对高速运动目标给出探测方法,避免高速运动目标距离走动的现象。最后基于接收分集MIMO雷达分析多目标情况下的定位技术,完成目标定位并画出定位精度分析图。本文利用MATLAB对所述理论进行验证仿真,验证了本文所涉及到的雷达数据处理的正确性。
[Abstract]:MIMO / multiple Input Multiple Output) radar is a new type of radar, which is introduced from the communication technology. It has attracted extensive attention once it has been put forward in the radar field. Although there are still many problems to be considered in practical application of MIMO radar, as a new type of high performance radar, it is a new type of high performance radar. The research on MIMO radar is of great significance. In this paper, the concept of MIMO radar and its development at home and abroad are briefly described in this paper. Two types of MIMO radar, coaddress radar and statistical radar, are studied. The advantages and disadvantages of MIMO radar as measurement radar are compared, and the advantages of MIMO radar as measurement radar are described. Then the orthogonal performance of MIMO radar transmitting waveform is discussed, and the simulation contrast diagrams of orthogonal frequency division multiplexing linear frequency modulation signal, two-phase coded signal, random polyphase code signal and so on are given respectively from the correlation characteristics of the quadrature frequency division multiplexing (OFDM) signal and the linear frequency modulation signal (LFM). Then the signal processing flow of MIMO radar is analyzed, and the angle estimation of the target is carried out by MUSIC and Capon algorithms. It is found that the angle measurement accuracy of MUSIC algorithm is higher than that of Capon algorithm, but the calculation amount is large. Then the difference between the two algorithms in the case of sparse array is compared. At the same time, the detection method for the high speed moving target is given to avoid the phenomenon of moving range of the high speed moving target. Finally, based on the receiver diversity MIMO radar analysis of the multi-target positioning technology, the target location is completed and the positioning accuracy analysis diagram is drawn. In this paper, MATLAB is used to verify the theory and verify the correctness of the radar data processing involved in this paper.
【学位授予单位】：南京理工大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN958

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