Modified Array Manifold for Signal Waveform Estimation in Wireless Communications

Abstract

In wireless communication scenarios, local scatterers in the vicinity of the sources cause angular spreading. Herein, a parameterization of the spatial signature in the presence of local scattering is presented which applies to uniform linear arrays (ULAs). The spatial signature is shown to be approximately a Vandermonde vector for a ULA in environments with small angular spread. An estimator of the spatial signature is formulated based on ESPRIT. For a simple signal waveform estimator, the gain may be considerable in scenarios with multiple sources, as compared with using the ideal manifold parameterized by direction of arrival (DOA). 1. Introduction The use of antenna arrays at base stations in wireless communication systems has received substantial interest, see e.g. [3, 9]. Increased range and decreased co-channel interference may be obtained, leading to increased coverage and increased capacity of the system. The problem of uplink (mobile to base) signal waveform estimation in en..