Robustness of high-resolution direction- of-arrival estimation algorithms
Kewei Liu · Shengxue jishu · 2003
Subspace high-resolution direction-of-arrival (DOA) estimation algorithms based on eigen-decomposition theory have become a focus in array signal processing. These algorithms show good performance in resolution and precision compared to the beam-forming method. However, they are found to be very sensitive to array modeling errors. Their performances decrease drastically in the presence of array errors. In this paper, robustness of high-resolution direction-of-arrival estimation algorithms is studied with simulations and experiments. The effect of array errors on MUSIC, Johnson and mini - norm algorithms with certain signal-to-noise ratio (SNR) is analyzed. It is shown that, the performances of MUSIC and Johnson are quite similar, while mini-norm is more robust than the other two. This means that mini-norm has good performance in resolution and precision, therefore a good prospect in engineering applications.