本文選題：電子戰(zhàn) + 超分辨測向　； 參考：《江蘇科技大學》2017年碩士論文

【摘要】：現代電子戰(zhàn)離不開對目標的精確測向,隨著電磁環(huán)境的日益復雜和電子偵察系統(tǒng)指標的不斷提高,傳統(tǒng)測向方法已經難以適應現代戰(zhàn)爭需求。超分辨測向算法以其優(yōu)越的性能,已在一些實時性要求較低的系統(tǒng)中得到應用,隨著軟硬件實現能力的提高,使其在電子偵察領域的應用成為可能。本文以艦載復雜環(huán)境下電子戰(zhàn)測向接收分機為應用背景,開展以多重信號分類(MUSIC)算法為代表的子空間類分解算法、低陣元數陣列測向性能,特定陣形下解相干算法以及算法實現等方面的研究工作,主要內容包括:1.分析MUSIC算法的基本原理與改進分類。簡述了MUSIC算法適用的信號類型,分析了算法原理與特點,并給出了一種高效的噪聲功率估計方法。2.細致比較了低陣元數天線陣形的測向性能。采用降維投影的方法,提出了均勻圓陣“無模糊”半徑選取方法,利用陣列流形與子空間的相關系數簡化了陣列誤差的表示方法;從抗模糊性能、測向精度、各向等效性以及陣列誤差敏感度等角度對奇偶陣元數均勻圓陣和三種一維線性陣列的測向性能進行了分析、對比與仿真。3.綜合考慮成本與測向性能,研究本課題適用的解相干信號測向方法。分析了經典解相干算法的特性,將前后向空間平滑算法拓展到二維陣列,提出了中心對稱平滑算法,該算法是一種能夠提高陣元復用率的二維解相干算法;分析了不同角度入射相干信號對信號源數目估計的影響。4.拆分研究MUSIC算法的各模塊的實現架構,以及方案的快速實現。分析并優(yōu)化了現有奇異值分解算法的并行實現方案,給出了FPGA邏輯加速部分設計方案;為了均衡延遲與資源消耗,選用了三級細粒度的譜峰搜索方法;使用Xilinx SDSo C套件,在Z-Turn平臺上完成算法的快速實現。
[Abstract]:Modern electronic warfare is inseparable from the accurate direction finding of targets. With the increasing complexity of electromagnetic environment and the continuous improvement of electronic reconnaissance system, the traditional direction finding methods have been difficult to meet the needs of modern warfare. Super-resolution direction finding algorithm has been applied in some systems with low real-time requirements due to its superior performance. With the improvement of the ability of software and hardware, it is possible to apply it in the field of electronic reconnaissance. In this paper, based on the application background of electronic warfare direction-finding extension in shipborne complex environment, the subspace class decomposition algorithm, which is represented by multiplex signal classification and MUSIC-based algorithm, is developed, and the direction finding performance of low array is obtained. The research work on decoherence algorithm and algorithm implementation under specific formation includes: 1. The basic principle and improved classification of MUSIC algorithm are analyzed. This paper briefly describes the signal types suitable for the MUSIC algorithm, analyzes the principle and characteristics of the algorithm, and presents an efficient noise power estimation method .2. The direction-finding performance of antenna array with low element number is compared in detail. By using the method of reducing dimension projection, the method of selecting the radius of uniform circular array "without fuzzy" is put forward, and the expression method of array error is simplified by using the correlation coefficient between array manifold and subspace. The performance of uniform circular array with odd and even array elements and three kinds of one-dimensional linear array are analyzed from the angles of equivalence and sensitivity of array error. Considering the cost and direction finding performance, this paper studies the direction finding method of decoherence signal. After analyzing the characteristics of classical de-coherent algorithm, the forward and backward spatial smoothing algorithm is extended to two-dimensional array, and a centrosymmetric smoothing algorithm is proposed, which is a two-dimensional decoherence algorithm which can improve the multiplexing rate of array elements. The influence of incident coherent signals at different angles on the number of signal sources is analyzed. This paper studies the implementation framework of each module of MUSIC algorithm and the fast implementation of the scheme. The parallel implementation scheme of the existing singular value decomposition algorithm is analyzed and optimized, and the design scheme of FPGA logic acceleration part is given. In order to balance delay and resource consumption, the three-level fine-grained spectral peak search method is selected, and the Xilinx SDSo C suite is used. Complete the fast implementation of the algorithm on the Z-Turn platform.
【學位授予單位】：江蘇科技大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TN97;TN911.7

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