摘要
针对正交匹配追踪(Orthogonal Matching Pursuit, OMP)算法在实际的波达方向(Direction of Arrival, DOA)估计应用中,测向分辨率较低且在相干信号环境下估计性能较差的问题,提出了一种虚拟阵列空间平滑DOA估计算法.以互质阵列为模型,通过在正交匹配追踪算法重构信号的基础上,使用虚拟内插的方法,构造均匀虚拟阵列,能够提高波达方向的估计精度,加入空间平滑算法,可以分辨相干信号.仿真结果表明,使用虚拟内插算法之后,空间谱图波峰更尖锐,且在信噪比为0 dB时,最高探测精度提高到2°,测向分辨率明显有所提升,同时加入空间平滑算法,可以有效地分辨相干信号,且在信噪比为0 dB时,最高探测精度提高为4.7°,验证了本文方法的有效性.
Due to the low direction-finding resolution and poor estimation performance in a coherent signal environment of orthogonal matching pursuit(OMP) algorithm in practical direction of arrival(DOA) estimation, a virtual array spatial smoothing DOA estimation algorithm is proposed. The estimation accuracy of the direction of arrival is improved by constructing a uniform virtual array based on a coprime array and using a virtual interpolation method through the signal reconstructed by the orthogonal matching pursuit algorithm. The coherent signal can be distinguished by adding the spatial smoothing algorithm. The simulation results show that after using the virtual interpolation algorithm, the wave crest of the spatial spectrum is sharper when the signal-to-noise ratio is 0 dB, the maximum detection accuracy is improved to 2°, and the direction-finding resolution is significantly improved. At the same time, the spatial smoothing algorithm can effectively distinguish the coherent signal. The maximum detection accuracy is improved to 4.7° when the signal-to-noise ratio is 0 dB, which verifies the effectiveness of this method.
作者
张骄
王敏
ZHANG Jiao;WANG Min(College of Physics and Electronics Engineering,Shanxi University,Taiyuan 030006,China)
出处
《测试技术学报》
2022年第5期369-375,共7页
Journal of Test and Measurement Technology
基金
山西省高校科技创新资助项目(2019L0111)。
关键词
正交匹配追踪算法
重构算法
空间平滑算法
虚拟内插
相干信号
orthogonal matching pursuit algorithm
reconstruction algorithm
spatial smoothing algorithm
virtual interpolation
coherent signal
