AN IMPROVED DOA ESTIMATOR BASED ON PARTIAL RELAXATION APPROACH
Paper i proceeding, 2018

In the partial relaxation approach, at each desired direction, the manifold structure of the remaining interfering signals impinging on the sensor array is relaxed, which results in closed form estimates for the interference parameters. By adopting this approach, in this paper, a new estimator based on the unconstrained covariance fitting problem is proposed. To obtain the null-spectra efficiently, an iterative rooting scheme based on the rational function approximation is applied. Simulation results show that the performance of the proposed estimator is superior to the classical and other partial relaxation methods, especially in the case of low number of snapshots, irrespectively of any specific structure of the sensor array while maintaining a reasonable computational cost.

DOA Estimation

Partial Relaxation Approach

Eigenvalue Decomposition

Covariance Fitting

Rank-one Modification Problem

Författare

Minh Trinh-Hoang

Technische Universität Darmstadt

Mats Viberg

Chalmers, Elektroteknik, Signalbehandling och medicinsk teknik, Signalbehandling

Marius Pesavento

Technische Universität Darmstadt

2018 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)

3246-3250

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Calgary, Canada,

Ämneskategorier

Sannolikhetsteori och statistik

Reglerteknik

Signalbehandling

DOI

10.1109/ICASSP.2018.8462295

Mer information

Senast uppdaterat

2019-01-16