Sorry, you need to enable JavaScript to visit this website.

AN IMPROVED DOA ESTIMATOR BASED ON PARTIAL RELAXATION APPROACH

Citation Author(s):
Mats Viberg, Marius Pesavento
Submitted by:
Minh Trinh-Hoang
Last updated:
22 April 2018 - 11:14am
Document Type:
Presentation Slides
Document Year:
2018
Event:
Presenters:
Minh Trinh Hoang
Paper Code:
SAM-L3.4
 

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.

up
0 users have voted: