通信抗干扰中的MUSIC空间谱估计和逆QR-RLS算法技术研究
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摘要
本文以所在课题组研制的某新型抗干扰接收机系统为背景,以QR分解、Givens旋转和MUSIC算法为理论基础,以将辨识干扰方向和自适应滤波相结合为手段,对该抗干扰接收机的抗干扰进行了理论分析,并给出了设计实现方案。
     论文的主要工作如下:
     文章首先阐述该课题的立题背景和自适应滤波理论以及空间谱估计理论的发展历史和现状并对全文工作和写作路线进行概括。为使后文所述理论易于理解,文章对RLS算法、Gives旋转和平面阵列模型的建立进行了简要介绍。
     其次文章介绍了传统IQRD-RLS算法。为使该算法易于实现,文章对传统IQRD-RLS算法进行了改进,给出了一种IQRD-RLS的改进算法。为解决IQRD-RLS算法中存在大量开方和除法运算,耗费硬件资源的问题,引入κλ旋转使开方和除法运算转为简单的加法和乘法运算,节约了硬件成本。每种算法均针对均匀线阵和均匀圆阵两种阵型进行论述,给出性能仿真分析结论和实现结构。
     再次介绍经典MUSIC算法。为解决算法对全空间进行搜索,耗时费资源的缺点,引入求根MUSIC算法。求根MUSIC算法通过对多项式求根的方式来求解信号和干扰的入射方向。为解决求根MUSIC算法复杂性高、对相干信号敏感的缺点,引入酉阵,建立酉阵root-MUSIC算法。每种算法均针对均匀线阵和均匀圆阵两种阵型进行分析,给出性能仿真结论。
     介绍了基于相关相减算法的MUSIC算法的实现,给出了具体的实现结构。
     最后论文进行了总结,指出进一步研究方向。
This paper analyses the anti-jamming theory about the cognitive anti-jamming receiver and gives the design.In the paper,a type cognitive interference receiver which developed by our team as the background, QR decomposition、Givens rotation and MUSIC algorithm for the theoretical basis and the combination between adaptive filtering means with the identification of interference direction as means.
     The main thesis is as follows:
     This paper described the background of the subject's position title、adaptive filter theory、spatial spectrum estimation theory and the history、current status of the work and summarize the writing routes. In order to make the above theory easy to understand,this paper briefly describes the RLS algorithm, Gives rotation and planar array model.
     Secondly, the article describes the traditional IQRD-RLS algorithm. To make the algorithm easy to implement, the article has improved the traditional IQRD-RLS algorithm and presents a new IQRD-RLS algorithm. In order to solve the existing large number of prescribing and division operations and the cost of hardware resources which in the IQRD-RLS algorithm, theκλrotation is introduced so that prescribing and division operations to simple addition and multiplication, the hardware cost savings. Both of the uniform linear array and uniform circular array are discussed in each algorithm and given performance simulation of the conclusions and implementation structure.
     Thirdly, the article introduces the classic MUSIC algorithm. the Root MUSIC algorithm is introduced to solve time-consuming and resource shortcomings when the algorithm to search the whole space. Root MUSIC algorithm figure out the signal and the interference of the incident direction by finding the roots of polynomial.In order to solve the high complexity and the shortcomings of the coherent signal sensitive about the Root MUSIC algorithm, the unitary matrix root-Music algorithm are established. Both of the uniform linear array and uniform circular array are discussed in each algorithm and given performance simulation of the conclusions.
     Finally, the article is summarized and pointed out further research.
引文
[1]韩方景,自适应天线抗干扰技术. 2002,国防科技大学. p1.
    [2] B, W. and E.M. H, Adaptive switching circuits, in IRC WESCON Conv.Rec. 1960. p96-p104.
    [3]覃景繁and欧阳海正,一种新的变步长自适应滤波算法, in数据采集与处理. 1997. pp171-pp174.
    [4] D, M., M. S, and J. Z, Detecti performance of the adaptive line enhancer(ALE) with post-detection intergration, in IEEE Transactions on Signal Processing. 1978. pp1374-pp1379.
    [5]耿妍,张端金.自适应滤波算法综述.信息与电子工程. 2008. pp315-pp320.
    [6] Sayed , A.H. and T. Kailath, A State-Space Approach to Adaptive RLS Filtering, in Signal Processing Magazine,IEEE. 1994. pp18-60.
    [7] Park, D.J., B.E. Jun, and J.H. Kim, Fast tracking RLS algorithm using novel variable forgetting factor with unity zone, in Electronics Letters. 1991. p2050-p2051.
    [8] Carini, A. and E. Mumolo, A numerically stable fast RLS algorithm for adaptive filtering and prediction based on the UD factorization , in IEEE Transactions on Signal Processing. 1999. pp2309-pp2313.
    [9] F, J.G.F., The QR transformation,a unitary analogue to the LS transformation-part 1, in The Computer Journal. 1961. pp256-pp271.
    [10] Ghirnikar, A.L. and S.T. Alexander. Performance and implementation of the inverse QR adaptive filter. in IEEE International Conference on Acoustics, Speech, and Signal Processing. 1992.
    [11] R, L.K.J. and F. E, QRD-based Square Root Free And Division Free Algorithms And Architectures, in University of Maryland. 1992. pp459-pp468.
    [12]王永良,陈辉, and彭应宁,空间谱估计理论与算法. 2004,北京:清华大学出版社. p82-p139.
    [13]向利,均匀圆阵中到达角(DOA)估计算法关键技术研究. 2007,中国科学技术大学.
    [14] A, J.B., Improving the resolution performance of eigenstructure-based direction-finding algorithms, in Boston MA. 1983. pp336-pp339.
    [15] Rao, B.D. and K.V.S. Hari, Performance analysis of Root-Music, in IEEE Transactions on Signal Processing. 1989. pp1939-pp1949.
    [16] Hong, W. and A.H. Tewfik. On the application of uniform linear array bearing estimation techniques to uniform circular array. in Antennas and Propagation Society International Symposium. 1991.
    [17] Pesavento, M., A.B. Gershman, and M. Haardt, Unitary root-MUSIC with areal-valued eigendecomposition: a theoretical and experimental performance study, in IEEE Transactions on Signal Processing. 2000. pp1306-pp1314.
    [18] Belloni, F. and V. Koivunen, Unitary root-MUSIC technique for uniform circular array, in IEEE International Symposium on Signal Processing and Information Technology. 2004. pp451-pp454.
    [19] L, V.T.H.,最优阵列处理技术.
    [20] O, S.R., Multiple emitter location and signal parameter estimation, in IEEE Trans.on AP. 1986. pp267-pp280.
    [21]王娟,薛光, and王素真,多重信号分类(MUSIC)算法的研究分析, in大众科技. 2008. p46.
    [22]张贤达,矩阵分析与应用. 2004,北京:清华大学出版社. pp613-pp620.
    [23]余新来,基于圆阵的水下近程目标方位估计研究. 2007,西北工业大学.
    [24] H, H. and K. M, On the statistical sufficiency of the coherently average covariance matrix for the estimation of the parameters of wideband sources. 1987. pp33-pp36.
    [25] Myrick W. L., Goldstein J. S., & Zoltowski M. D. Low complexity anti-jam space-time processing for GPS[C]. Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing. Salt Lake City, UT.pp2233~pp2236, May 2001
    [26]顾泰龙,花良发,韩振铎,求根类空间谱估计分析与仿真,空军雷达学院学报. 2004. pp4.
    [27] Mathews, C.P. and M.D. Zoltowski, Eigenstructure techniques for 2-D angle estimation with uniform circular arrays, in IEEE Transactions on Signal Processing. 1994. pp2395-pp2407.
    [28] Cheng, Q. and X. Meng. An iterative root-MUSIC for 2-D angle estimation. in Signal Processing and Its Applications. 1999
    [29] S, H. and S. Haykin, adaptive filer theory 4th ed. 2002, USA New York: Prentice Hall. pp513-pp533.
    [30] G, M.J., recursive least-squares minimization using a systolic array, in Real-Time Signal Processing. pp1152.
    [31]卢树军,中频数字化扩频接收机自适应抗干扰技术研究. 2005,国防科学技术大学.
    [32] J, S.T., M.J. G, and J.E. Hudson, Mathematics in Signal Process. pp775-pp790
    [33] A, J.J.A., QRD-RLS Adaptive Filtering. 2009, USA New York: Sptingter Science Business Media.
    [34]丁前军,王永良,张永顺.自适应阵列中的多级维纳滤波器的有效实现算法,电子与信息学报, 2006, Vol28, No5, pp936~pp940