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多跳频信号频率跟踪与二维波达方向实时估计算法

张东伟 郭英 张坤峰 齐子森 韩立峰 尚耀波

张东伟, 郭英, 张坤峰, 齐子森, 韩立峰, 尚耀波. 多跳频信号频率跟踪与二维波达方向实时估计算法[J]. 电子与信息学报, 2016, 38(9): 2377-2384. doi: 10.11999/JEIT151170
引用本文: 张东伟, 郭英, 张坤峰, 齐子森, 韩立峰, 尚耀波. 多跳频信号频率跟踪与二维波达方向实时估计算法[J]. 电子与信息学报, 2016, 38(9): 2377-2384. doi: 10.11999/JEIT151170
ZHANG Dongwei, GUO Ying, ZHANG Kunfeng, QI Zisen, HAN Lifeng, SHANG Yaobo. Online Estimation Algorithm of 2D-DOA and Frequency Tracking for Multiple Frequency-hopping Signals[J]. Journal of Electronics and Information Technology, 2016, 38(9): 2377-2384. doi: 10.11999/JEIT151170
Citation: ZHANG Dongwei, GUO Ying, ZHANG Kunfeng, QI Zisen, HAN Lifeng, SHANG Yaobo. Online Estimation Algorithm of 2D-DOA and Frequency Tracking for Multiple Frequency-hopping Signals[J]. Journal of Electronics and Information Technology, 2016, 38(9): 2377-2384. doi: 10.11999/JEIT151170

多跳频信号频率跟踪与二维波达方向实时估计算法

doi: 10.11999/JEIT151170
基金项目: 

国家自然科学基金(61401499),陕西省电子信息系统综合集成重点实验室基金(201501A),航空科学基金(20112096016)

Online Estimation Algorithm of 2D-DOA and Frequency Tracking for Multiple Frequency-hopping Signals

Funds: 

The National Natural Science Foundation of China (61401499), The Foundation of Electronic Information System Integration Laboratory in Shaanxi Province (201501A),The Aviation Science Foundation of China (20112096016)

  • 摘要: 为了实时提取跳频(FH)通信参数以及为通信对抗提供所需信息,该文提出一种多跳频信号频率跟踪和2维波达方向实时估计算法。首先建立跳频信号的L型阵列接收数据模型,并推导证明了自回归滑动平均(ARMA)模型对L型阵列数据的适用性,然后采用粒子滤波思想对阵列流型矩阵和频率进行实时估计。再基于频率估计值建立ARMA模型实时检测跳时刻,并结合流型矩阵估计值实现无需参数配对的2维波达方向(2D-DOA)准确估计。新方法通过设计合理的粒子生成以及权值更新方式,使流型矩阵与频率估计值能够迅速收敛至稳定状态。最后蒙特卡罗仿真结果验证了该算法的有效性。
  • ZHAO Lifan, WANG Lu, BI Guoan, et al. Robust frequency- hopping spectrum estimation based on sparse Bayesian method[J]. IEEE Transactions on Wireless Communications, 2015, 14(2): 781-793.
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    ZHANG Dongwei, GUO Ying, QI Zisen, et al. Joint estimation algorithm of direction of arrival and polarization for multiple frequency-hopping signals[J]. Journal of Electronics Information Technology, 2015, 37(7): 1695-1701. doi: 10.11999/JEIT141315.
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    single or multiple channels[J]. IET Communications, 2012, 6(1): 84-89.
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    王丰华, 沙志超, 刘章孟, 等. 基于贝叶斯稀疏学习的多跳频信号频率跟踪方法[J]. 电子与信息学报, 2013, 35(6): 1395-1399. doi: 10.3724/SP.J.1146.2012.01493.
    WANG Fenghua, SHA Zhichao, LIU Zhangmeng, et al. A frequency tracking method for multiple frequency-hopping signals based on sparse bayesian learning[J]. Journal of Electronics Information Technology, 2013, 35(6): 1395-1399. doi: 10.3724 /SP.J.1146.2012.01493.
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    MAO Weiping, LI Guolin, and XIE Xin. DOA estimation of coherent signals with preprocessed single snapshot[J]. Journal of Shanghai Jiaotong University, 2014, 48(10): 1362-1367.
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出版历程
  • 收稿日期:  2015-10-23
  • 修回日期:  2016-07-01
  • 刊出日期:  2016-09-19

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