MUSIC-LS Modal Channel Estimation for an OFDM-OQAM System

Abstract

Orthogonal frequency division multiplexing based on offset quadrature amplitude modulation (OFDM-OQAM) signaling over frequency selective multipath channels shows inter-symbol interference (ISI) and Inter-Channel Interference (ICI) that degrade its performance. Channel equalization and channel estimation are needed to combat these intrinsic interferences. In this paper a novel modal channel estimator based on the MUltiple signal classification (MUSIC) and least squares (LS) algorithms for a wideband passband OFDM-OQAM signaling over static multipath channels is presented. The effects of the frequency selective channel on the received signal are described considering a wideband OFDM-OQAM system model based on Taylor expansion of the channel transfer function. The spatial smoothing technique is employed to obtain time delay estimates based on the MUSIC algorithm from a single observation of the output data. The least squares estimate for the path gains is based on the knowledge of the estimated path delays. Numerical simulation results for the performance of the novel MUSIC-LS modal channel estimator are presented.