Blind Adaptive Algorithms for Decision Feedback DS-CDMA Receivers in Multipath Channels

TL;DR

This paper develops and evaluates blind adaptive decision feedback receivers for DS-CDMA systems in multipath channels, introducing novel algorithms and structures to improve performance and mitigate error propagation.

Contribution

It proposes new blind adaptive algorithms and a novel successive parallel arbitrated DF scheme for DS-CDMA in multipath channels, enhancing robustness and performance.

Findings

The algorithms outperform linear receivers in simulations.

The new DF structures reduce error propagation effects.

Blind adaptive methods are effective in multipath environments.

Abstract

In this work we examine blind adaptive and iterative decision feedback (DF) receivers for direct sequence code division multiple access (DS-CDMA) systems in frequency selective channels. Code-constrained minimum variance (CMV) and constant modulus (CCM) design criteria for DF receivers based on constrained optimization techniques are investigated for scenarios subject to multipath. Computationally efficient blind adaptive stochastic gradient (SG) and recursive least squares (RLS) algorithms are developed for estimating the parameters of DF detectors along with successive, parallel and iterative DF structures. A novel successive parallel arbitrated DF scheme is presented and combined with iterative techniques for use with cascaded DF stages in order to mitigate the deleterious effects of error propagation. Simulation results for an uplink scenario assess the algorithms, the blind adaptive DF detectors against linear receivers and evaluate the effects of error propagation of the new cancellations techniques against previously reported approaches.