Signal Waveform Estimation from Array Data in Angular Spread Environment

Abstract

We analyze different direction based signal copy algorithms for a model of angular spread caused by local scattering around each signal source. Optimal algorithms, in terms of Signal to Interference and Noise ratio, are derived for both rapidly and slowly time varying angular spread and a low complexity ad-hoc algorithm is suggested. Simulations show that these algorithms outperform traditional signal copy algorithms in terms of Signal to Interference and Noise ratio as well as outage probability. 1. Introduction Several principles have been suggested for signal waveform estimation in sensor array processing [2, 3, 4, 7]. Here we analyze direction based signal copy algorithms in a scenario with multipath-induced angular spread, where the ordinary point source model is not well suited. This model is relevant in applications such as mobile communications where non line of sight is common. The signal to interference plus noise ratio (SINR) and outage probability are used as quality measu..