BER Performance Improvement with Joint Angle-Delay-Polarization Estimation of Multipath Channel Parameters

International audienceIn mobile telecommunications, the quality of demodulation is strongly impacted by channel estimation. The Joint Angle, Delay and Polarization Estimation (JADPE) problem is addressed in this paper when a linear uniform array of crossed dipoles is used to measure the signal. The purpose of this paper is to study the high resolution JADPE ESPRIT method for the estimation of the parameters that characterize each path in order to improve channel estimation and demodulation. A complete system simulation (based on TDD-UTRA standard of UMTS) is proposed in order to evaluate performance in terms of channel estimation accuracy and BER. Simulation results show the interest of considering the polarization as a channel parameter in order to increase the performance. Improvement in the path separation and received signal power is obtained and, because of this, channel estimation accuracy and data estimation accuracy are improved as well

A covariance matrix reconstruction approach for single snapshot direction of arrival estimation

Achieving accurate single snapshot direction of arrival (DOA) information significantly improves communication performance. This paper investigates an accurate and high-resolution DOA estimation technique by enabling single snapshot data collection and enhancing DOA estimation results compared to multiple snapshot methods. This is carried out by manipulating the incoming signal covariance matrix while suppressing undesired additive white Gaussian noise (AWGN) by actively updating and estimating the antenna array manifold vector. We demonstrated the estimation performance in simulation that our proposed technique supersedes the estimation performance of existing state-of-the-art techniques in various signal-to-noise ratio (SNR) scenarios and single snapshot sampling environments. Our proposed covariance-based single snapshot (CbSS) technique yields the lowest root-mean-squared error (RMSE) against the true DOA compared to root-MUSIC and the partial relaxation (PR) approach for multiple snapshots and a single signal source environment. In addition, our proposed technique presents the lowest DOA estimation performance degradation in a multiple uncorrelated and coherent signal source environment by up to 25.5% with nearly negligible bias. Lastly, our proposed CbSS technique presents the best DOA estimation results for a single snapshot and single-source scenario with an RMSE of 0.05° against the true DOA compared to root-MUSIC and the PR approach with nearly negligible bias as well. A potential application for CbSS would be in a scenario where accurate DOA estimation with a small antenna array form factor is a limitation, such as in the intelligent transportation system industry and wireless communication

Angle and delay estimation of space-time channels for TD-CDMA systems

none2J. Picheral; U. SpagnoliniJ., Picheral; Spagnolini, Umbert