被动声纳测向信号级仿真

发布时间：2018-03-01 00:11

本文关键词： 被动声纳测向信号级仿真部件级建模波束形成 PSO算法　出处：《中国舰船研究院》2015年硕士论文　论文类型：学位论文

【摘要】：随着部署在我国周边的潜艇的日益增加,我国的水下安全形势日趋严峻。为提升对水下目标的探测能力,根据被动声纳探测具有隐蔽性的特点,本文利用被动声纳测向信号级仿真深入研究了被动声纳测向的精度和抗干扰能力问题。仿真了被动声纳的信号源。利用高斯白噪声仿真海洋环境噪声;通过连续谱噪声和线谱噪声叠加的调制谱噪声仿真出可信度较高的水中目标辐射噪声。基于基阵指向性模型,建立波束形成模型处理源信号。分别通过仿真均匀加权波束形成、Chebyshev加权波束形成以及自适应波束形成模型得到目标的方位信息。通过对这三种波束形成的对比,得出结论:均匀加权波束形成的测向精度最好;自适应加权波束形成的抗干扰能力最好。在此基础上,为进一步提高被动声纳的测向性能,首次提出将粒子群优化(PSO)算法引入到被动声纳波束形成。标准PSO波束图优化的仿真结果表明:标准PSO波束图优化测向精度高,且能抑制特定方位的干扰。但是,针对复杂阵型,它存在着收敛速度慢,且易于早熟的缺陷。为克服标准PSO波束图优化的缺陷,又创新性地提出了将修正Taylor法与标准PSO算法相结合的T-PSO算法应用于被动声纳波束形成。被动声纳测向信号级仿真的结果表明:T-PSO波束图优化法既适用于对称波束图优化,又可用于非对称波束图优化。而且,测向精度高,虚警率低,收敛性好,且具有良好的抗干扰能力。但是,T-PSO波束图优化的收敛稳定性仍需进一步改善。
[Abstract]:With the increasing number of submarines deployed around our country, the underwater security situation is becoming more and more serious. In order to improve the detection capability of underwater targets, passive sonar detection has the characteristics of concealment. In this paper, the accuracy and anti-jamming ability of passive sonar direction-finding are deeply studied by using the signal level simulation of passive sonar, the signal source of passive sonar is simulated, and the marine environmental noise is simulated by Gao Si white noise. Based on the directivity model of array array, the radiated noise of underwater target with high reliability is simulated by the modulation spectrum noise superimposed by continuous spectrum noise and linear spectral noise. The beamforming model is established to process the source signal. The azimuth information of the target is obtained by simulating the uniform weighted beamforming model and the adaptive beamforming model respectively. It is concluded that the direction finding accuracy of uniform weighted beamforming is the best, and the anti-jamming ability of adaptive weighted beamforming is the best. On this basis, in order to further improve the performance of passive sonar, Particle Swarm Optimization (PSO) algorithm is introduced into passive sonar beamforming for the first time. The simulation results of standard PSO beammap optimization show that the standard PSO beammap optimization has high precision and can suppress the interference of specific azimuth. It has the defects of slow convergence and precocity. In order to overcome the defects of standard PSO beam map optimization, The T-PSO algorithm which combines the modified Taylor method with the standard PSO algorithm is innovatively applied to passive sonar beamforming. The results of signal level simulation of passive sonar direction finding show that the beam map optimization method is suitable for symmetric beam map optimization. It can also be used for asymmetric beam map optimization. Moreover, the precision of direction finding is high, the false alarm rate is low, the convergence rate is good, and it has good anti-interference ability. However, the convergence stability of T-PSO beam map optimization still needs to be further improved.
【学位授予单位】：中国舰船研究院
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：U666.7

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