Performance Analysis of The Path Selective Decorrelating Detector with a Maximum Likelihood Channel Estimator

Abstract

The adaptive path selective decorrelating detector requires the knowledge of the channel coefficients for path selection to reduce both system complexity and noise enhancement. Generally, the channel coefficients are assumed to be known at the receiver. However, this is not realistic. Therefore, we propose a maximum-likelihood channel estimation method that makes use of both known spreading sequences and short training sequences for the estimation of channel coefficients. We derive an expression for the Mean Square Error (MSE) of the channel estimate and extend the semi-analytic Bit Error Rate (BER) analysis of the path selective receiver to include estimation errors. Results show that with a fairly short training sequence (8-16 bits) the system performs very close to the known channel case.