Blind ranges, frequencies and DOAS estimation for near field sources
Ke Deng, Qinye Yin, Hui‐Ming Wang · 2009
Two novel algorithms are proposed for ranges, frequencies and direction-of-arrivals (DOAs) estimation of the narrow-band near field sources. By exploiting the time-domain and space-domain correlations of impinging signals jointly, we can identify 2p independent sources and estimate 3 groups of parameters with a uniformly linear array (ULA) of 2p + 1 elements, being double of the conventional methods. In addition, the peak search and pairing operations, needed in most algorithms for near field sources, can be omitted completely in our methods. Simulation results show that our two ESPRIT-based methods provide the improved performance over conventional ones based on the second-order statistics.