Direction-of-arrival (DOA) estimation using an array of sensors is a problem of great interest in radar and sonar applications. The performance of most DOA estimation techniques degrades rapidly as the signal-to-noise ratio (SNR) at the sensor array decreases. Denoising may be used to improve the performance of the DOA estimator. The noisy signal received at the array is spatially decorrelated and then denoised. The denoised and recorrelated signal is used for DOA estimation.
In this talk, a technique that combines spatial decorrelation with wavelet based denoising will be described. Simulation results will be presented for plane wave DOA estimation and DOA estimation in a shallow ocean waveguide. The possibility of using stochastic resonance (SR) as an aid to denoising will be discussed.