基于空间谱估计的快速测向技术研究

发布时间：2018-05-18 19:51

本文选题：空间谱估计 + 快速迭代　；参考：《电子科技大学》2014年硕士论文

【摘要】：现代电子战中的战场电磁环境复杂多变,传统无源测向技术在某些情况下已不能满足人们的要求。与传统的测向技术相比,空间谱估计测向技术具有测向精度高、测向分辨能力强等特点。然而,空间谱估计在电子战中的实用化还面临着诸多难题。本文主要针对普通空间谱估计不能快速求解计算以及不能对相干信号进行估计的两个难点进行讨论,研究适用于现代电子战中的空间谱估计算法。本论文的主要研究内容如下:首先分析了空间谱估计测向系统的基本结构以及均匀线阵的接收信号数学模型,为空间谱估计算法提供理论基础。然后分别理论推导了空间谱估计中最常见的最小方差无失真响应算法和多重信号分类算法,并进行DOA(Direction Of Arrival)估计仿真。仿真结果表明多重信号分类算法的性能要优于最小方差无失真响应算法。结合自适应信号处理和波束零陷的原理,提出了能通过快速迭代方式完成求解的波束零陷DOA估计算法,并与多重信号分类算法对比,并在计算机上进行DOA估计仿真和不同信噪比下精度统计仿真。仿真结果表明,波束零陷DOA估计算法与多重信号分类算法一样都能估计出信号的入射方向;在特定的环境下,波束零陷DOA估计算法的估计精度与多重信号分类算法相当,但运算量远远小于比后者。分析了目前较常用的空间平滑处理解相干算法,在此基础上对波束零陷DOA估计算法进行改进,得到了基于波束零陷DOA估计的空间平滑解相干算法,同时对比空间平滑的多重信号分类算法,在计算机上进行相干信号的DOA估计仿真。仿真结果表明,改进后的算法与空间平滑处理后的多重信号分类算法一样,在谱函数中相干信号的入射方向上都能形成谱峰,且改进后的算法求解方式比后者简捷。本论文提出的波束零陷DOA估计算法有效地解决了大多数普通空间谱估计算法不能快速求解计算的问题,同时改进后的解相干算法有效地解决了大多数普通空间谱估计算法不能对相干信号进行DOA估计的问题。
[Abstract]:The electromagnetic environment in the battlefield of modern electronic warfare is complex and changeable, and the traditional passive direction finding technology can not meet the demands of people in some cases. Compared with the traditional direction finding technique, the space spectrum estimation and direction finding technique has the characteristics of high direction finding precision and strong direction finding resolution. However, the practicability of space spectrum estimation in electronic warfare is still faced. In this paper, the main research contents of this paper are as follows: firstly, the basic structure of the spatial spectrum estimation direction finding system is analyzed. The main research contents of this paper are as follows: first, the basic structure of the spatial spectrum estimation system is analyzed. The mathematical model of the receiving signal of uniform linear array provides the theoretical basis for the spatial spectrum estimation algorithm. Then the most common minimum variance undistorted response algorithm and multiple signal classification algorithm are derived respectively in the spatial spectrum estimation, and the DOA (Direction Of Arrival) is used to estimate the imitation truth. It is superior to the minimum variance undistorted response algorithm. Combining the principle of adaptive signal processing and beam nulling, a beam null DOA estimation algorithm which can be solved through fast iteration is proposed and compared with the multiple signal classification algorithm. The simulation of DOA estimation and the simulation of accuracy under different signal to noise ratio are carried out on the computer. The results show that the beam null DOA estimation algorithm can estimate the incidence direction of the signal as well as the multiple signal classification algorithm. In a specific environment, the estimation precision of the beam null DOA estimation algorithm is equivalent to the multiple signal classification algorithm, but the computation is far less than the latter. On this basis, the algorithm of beam zero subsidence DOA estimation is improved, and the spatial smoothing algorithm based on the beam zero trapping DOA estimation is obtained. At the same time, the spatial smoothing multiple signal classification algorithm is compared, and the DOA estimation of coherent signals is simulated on the computer. The simulation results show that the improved algorithm and the spatial smoothing are processed. As for the multiple signal classification algorithm, the spectral peak can be formed in the incidence direction of the coherent signal in the spectral function, and the improved algorithm is simpler than the latter. The proposed beam zero DOA estimation algorithm can effectively solve the problem that most common spatial spectral estimation algorithms can't solve fast computation, and the improved solution is improved. The coherent algorithm effectively solves the problem that most ordinary spatial spectrum estimation algorithms can not estimate the DOA of coherent signals.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN911.23

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