Analysis and investigation the estimation accuracy and reliability of Pisarenko Harmonic Decomposition algorithm

Direction of arrival (DOA) estimation is currently an active research topic playing a fundamental role in many applications including electromagnetic, tracking systems and signal processing applications. This paper evaluates the performance estimation of Pisarenko Harmonic Decomposition (PHD) algorithm and then compares it with multiple signal classification (MUSIC) method based on narrowband signal conditions. The main purpose of this evaluation is to investigate the effect of the spurious peaks (spurious angles) that appears on the pseudospectrum of the PHD on the estimation precision. The principle working in addition to mathematical model of the DOA model and PHD method are presented. An exhaustively Monte Carlo simulation is performed to explain this problem. A useful recommendation is provided to overcome this problem.