脉冲噪声环境下循环平稳信号的多径DOA估计

发布时间：2018-03-17 00:32

本文选题：α稳定分布　切入点：循环平稳　出处：《内蒙古大学》2017年硕士论文　论文类型：学位论文

【摘要】：波达方向(Driection of Arlival:DOA)估计是无线定位的一项重要手段,在雷达、无线电监测、声纳以及军事等领域等很多方面都应用非常广泛。近年来,利用信号循环平稳特性的基于循环统计量的算法得到了很大发展,此类算法能够过滤掉干扰信号和非指定循环频率的信号,即具有信号选择性。但这类算法在接收到的信号为多径信号时就会失效,为此本文首先研究了循环平稳信号的多径DOA估计问题;实际应用中,信号夹杂着脉冲噪声时,高斯噪声下的算法失效,因此本文又重点探讨了脉冲噪声下的DOA估计。本文的创新工作为:(1)针对多径DOA估计的问题,研究在循环MUSIC算法、循环root-MUSIC和循环ESPRIT算法中引入空间平滑理论和修正MUSIC算法的思想,提出了空间平滑循环root-MUSIC算法、空间平滑循环ESPRIT算法、修正循环MUSIC算法、修正循环root-MUSIC算法和修正循环ESPRIT算法。(2)针对脉冲噪声下多径DOA估计的问题,研究在空间平滑循环root-MUSIC算法、空间平滑循环ESPRIT算法、修正循环MUSIC算法、修正循环root-MUSIC算法和修正循环ESPRIT算法中引入分数低阶循环相关,提出了空间平滑分数低阶循环root-MUSIC算法、空间平滑分数低阶循环ESPRIT算法、修正分数低阶循环MUSIC算法、修正分数低阶循环root-MUSIC算法和修正分数低阶循环ESPRIT算法,能够在脉冲噪声下对循环平稳信号做多径DOA估计。
[Abstract]:The DOA estimation is an important means of wireless positioning. It is widely used in many fields, such as radar, radio monitoring, sonar and military, etc. In recent years, Algorithms based on cyclic statistics, which make use of the cyclic stationary characteristics of signals, have been greatly developed. Such algorithms can filter out interference signals and signals with unspecified cyclic frequencies. That is, signal selectivity. However, this kind of algorithm will fail when the received signal is multipath signal. In this paper, the problem of multipath DOA estimation for cyclic stationary signal is studied firstly, and in practical application, when the signal is mixed with pulse noise, the problem of multipath DOA estimation of cyclic stationary signal is studied. The DOA estimation under impulse noise is also discussed in this paper. The innovative work of this paper is to study the problem of multipath DOA estimation, and the cyclic MUSIC algorithm is studied. This paper introduces the theory of spatial smoothing and the idea of modified MUSIC algorithm into cyclic root-MUSIC and cyclic ESPRIT algorithm, and puts forward spatial smoothing cyclic root-MUSIC algorithm, spatial smoothing cyclic ESPRIT algorithm, modified cyclic MUSIC algorithm. Aiming at the problem of multipath DOA estimation under impulse noise, this paper studies the spatial smoothing cyclic root-MUSIC algorithm, spatial smoothing cyclic ESPRIT algorithm, modified cyclic MUSIC algorithm, and the modified cyclic ESPRIT algorithm. The fractional low order cyclic correlation is introduced into the modified cyclic root-MUSIC algorithm and the modified cyclic ESPRIT algorithm. The spatial smoothing fractional low order cyclic root-MUSIC algorithm, the spatial smoothing fractional low order cyclic ESPRIT algorithm and the modified fractional low order cyclic MUSIC algorithm are proposed. The modified fractional low order cyclic root-MUSIC algorithm and the modified fractional low order cyclic ESPRIT algorithm can estimate multipath DOA for cyclic stationary signals under impulse noise.
【学位授予单位】：内蒙古大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN911.23

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