期刊文献+

基于压缩感知的被动雷达导引头信源数估计方法

Source Number Estimation Method for Passive Radar Seeker Based on Compressed Sensing
下载PDF
导出
摘要 随着雷达反摧毁技术的发展,被动雷达导引头面临着在雷达和诱饵形成的不完全重合信号中进行超分辨测向的挑战,需要单快拍测向技术。现有测向技术大多假设信源数已知,而传统的信源数估计方法在单快拍时性能大幅下降甚至失效。为解决这一问题,提出了一种基于压缩感知的单快拍信源数估计方法。该方法首先将被动雷达导引头阵列测向模型稀疏表示,其次通过子空间算法和压缩感知算法相结合进行降阶和解相干处理,然后提出一种改进的正交匹配追踪算法,研究残差的变化规律,最后构造目标函数估计信源数。仿真实验表明,该方法在单快拍、阵元数少、信号相干的极端情况下估计成功率较高。 With the development of radar anti-destruction technology,passive radar seeker faces with challenge of super-resolution direction finding in incompletely overlapped signal caused by radar and decoys.In this situation,it needs single snapshot direction finding technology.Most existing technologies assume that the number of sources is known.However,the performance of traditional source number estimation algorithm declines sharply or even fails in single snapshot.To solve this problem,a source number estimation method for passive radar seeker based on compressed sensing is proposed.Firstly,sparse representation of array direction finding model for passive radar seeker is constructed.Then,degree reduction and decoherence by the combination of subspace algorithm and compressed sensing algorithm are processed.Finally,a improved orthogonal matching pursuit algorithm is proposed,that focuses on the variation of residuals and constructs objective function to estimate source number.Simulation results show the relatively high success rate of this estimation method in extreme cases of single snapshot,fewer array elements and coherent signal situation.
作者 王资 李槟槟 时满红 赵宏涛 江平 WANG Zi;LI Binbin;SHI Manhong;ZHAO Hongtao;JIANG Ping(Air Force Early Warning Academy,Wuhan Hubei 430019,China)
机构地区 空军预警学院
出处 《现代雷达》 CSCD 北大核心 2024年第1期8-15,共8页 Modern Radar
基金 国家自然科学资助项目(62001510)。
关键词 被动雷达导引头 信源数估计 压缩感知 单快拍 passive radar seeker source number estimation compressed sensing single snapshot
  • 相关文献

参考文献7

二级参考文献43

  • 1程伟,左继章.基于时空结构的阵列信号三维参数同时估计方法[J].通信学报,2004,25(10):67-74. 被引量:5
  • 2柴立功,罗景青.一种强干扰条件下微弱信号DOA估计的新方法[J].电子与信息学报,2005,27(10):1517-1520. 被引量:24
  • 3Svantesson T. The effects of mutual coupling using a linear array of thin diploes of finite length[C]. Proceedings of 8th IEEE Signal Processing Workshop on Statistical Signal and Array Processing, Portland, USA, Sept. 1998: 232-235. 被引量:1
  • 4Weiss A J and Friedlander B. Mutual coupling effects on phase-only direction finding[J]. IEEE Transactions on Antennas and Propagation, 1992, 40(5): 535-541. 被引量:1
  • 5Yeh C C, Leou M L, and Ucci D R. Bearing estimations with mutal coupling present[J]. IEEE Transactions on Antennas and Propagation, 1989, 37(10): 1332-1335. 被引量:1
  • 6Sellone F and Serra A. A novel mutual coupling compensation algorithm for uniform and linear arrays[J]. IEEE Transactions on Signal Processing, 2007, 55(2): 560-573. 被引量:1
  • 7See C. Sensor array calibration using a maximum-likelihood approach[J]. IEEE Transactions on Antennas and Propagation, 1996, 44(6): 827-835. 被引量:1
  • 8Friedlander B and Weiss A J. Direction finding in the presence of mutual coupling[J]. IEEE Transactions on Antennas and Propagation, 1991, 39(3): 273-284. 被引量:1
  • 9Ye Z and Liu C. On the resiliency of MUSIC direction finding against antenna sensor coupling[J]. IEEE Transactions on Antennas and Propagation, 2008, 56(2): 371-380. 被引量:1
  • 10Ye Z and Liu C. 2-D DOA estimation in the presence of mutual coupling[J]. IEEE Transactions on Antennas and Propagation, 2008, 56(10): 3150-3158. 被引量:1

共引文献27

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部