基于空间演化谱的Chirp信号极化和DOA的联合估计

Joint Polarization and Arrival Angle Estimation of Chirp Signal Based Spatial Evolutionary Periodogram

本文研究了时变幅度Chirp信号的演化谱,提出了分别在时间轴和频率轴上聚集能量的方法,改善了演化周期谱的能量聚集性。同时,基于时变幅度Chirp信号的空间演化谱,提出了一种新的空间极化时频分布,用此空间极化时频矩阵代替自相关矩阵估计信号子空间和噪声子空间。采用L型正交短偶极子阵列,用ESPRIT算法实现了多Chirp信号DOA和极化参量的联合估计,并提出一种新的多信号参量配对的方法。通过仿真将本文的算法其他一些算法进行了比较。

In this paper, we analyzed evolutionary spectrum of chirp signals of time-varying amplitude, and proposed the method of concentrating energy in time-frequency domain to improve the concentration of evolutionary periodogram. A new spatial polarimetric t-f （SPTF） distribution was presented based evolutionary periodogram of chirp signals of time-varying amplitude. Using this SPTF matrix instead of auto-correlated matrix to estimate the signal and noise subspace, we exploited ESPRIT method to estimate the polarization and 2-D angle-of-arrival with the L shaped cross dipole array sensors, and presented a new method of pairing parameters. The performance of this algorithm was compared with others by computer simulation.