Title :
Blind estimation of multiple co-channel digital signals in vector FIR channels
Author :
Diggavi, Suhas N. ; Cho, Young ; Paulraj, Arogyaswsmi
Author_Institution :
Inf. Syst. Lab., Stanford Univ., CA, USA
Abstract :
In this paper we examine the problem of detecting multiple co-channel signals arriving at a sensor array in a dispersive, slowly fading environment. This problem of separating and estimating co-channel signals has recently drawn much attention due to its applications in digital mobile radio. First, we propose a spatio-temporal approach for estimating both the channel and the signals in a delay-spread multipath fading environment. In this approach we exploit the discrete-alphabet property of some of the digital modulation schemes in this algorithm. This algorithm is applicable to an unknown array geometry and propagation environment, and hence it is especially attractive to digital mobile communication applications. Next we examine the matched filter bound for this channel environment. We obtain closed form expressions for the matched filter bound for the single user vector channel. Finally we present some preliminary simulation results to examine the performance of this algorithm and compare it to the single user matched filter bound
Keywords :
FIR filters; array signal processing; digital radio; fading; iterative methods; land mobile radio; least squares approximations; matched filters; maximum likelihood estimation; modulation; multipath channels; signal detection; algorithm performance; array geometry; blind estimation; delay-spread multipath fading environment; digital mobile radio; digital modulation schemes; discrete-alphabet property; iterative least squares; maximum likelihood estimation; multiple co-channel digital signals; propagation environment; sensor array; signal detection; simulation; single user matched filter bound; single user vector channel; slowly fading environment; spatio-temporal approach; vector FIR channels; Delay estimation; Digital modulation; Dispersion; Fading; Geometry; Land mobile radio; Matched filters; Mobile communication; Sensor arrays; Signal detection;
Conference_Titel :
Global Telecommunications Conference, 1995. GLOBECOM '95., IEEE
Print_ISBN :
0-7803-2509-5
DOI :
10.1109/GLOCOM.1995.500224