Adaptive Frequency Domain Detectors for SC-FDE in Multiuser DS-UWB Systems with Structured Channel Estimation and Direct Adaptation

TL;DR

This paper introduces two adaptive detection schemes for multiuser DS-UWB systems using SC-FDE, employing structured channel estimation and direct adaptation with various adaptive algorithms, enhancing detection performance and reducing complexity.

Contribution

The paper presents novel adaptive detection schemes with simplified algorithms and parameter estimation methods for multiuser DS-UWB systems using SC-FDE.

Findings

Both schemes improve detection accuracy in simulations.

The proposed algorithms have manageable computational complexity.

Performance varies with different adaptive algorithms.

Abstract

In this paper, we propose two adaptive detection schemes based on single-carrier frequency domain equalization (SC-FDE) for multiuser direct-sequence ultra-wideband (DS-UWB) systems, which are termed structured channel estimation (SCE) and direct adaptation (DA). Both schemes use the minimum mean square error (MMSE) linear detection strategy and employ a cyclic prefix. In the SCE scheme, we perform the adaptive channel estimation in the frequency domain and implement the despreading in the time domain after the FDE. In this scheme, the MMSE detection requires the knowledge of the number of users and the noise variance. For this purpose, we propose simple algorithms for estimating these parameters. In the DA scheme, the interference suppression task is fulfilled with only one adaptive filter in the frequency domain and a new signal expression is adopted to simplify the design of such a filter. Least-mean squares (LMS), recursive least squares (RLS) and conjugate gradient (CG) adaptive algorithms are then developed for both schemes. A complexity analysis compares the computational complexity of the proposed algorithms and schemes, and simulation results for the downlink illustrate their performance.