2019/05/03 by Shervin Amirsoleimani, Amirsoleimani, Shervin, Ali Olfat +1
Engineering · #FOS: Electrical engineering #Microwave Imaging and Scattering Analysis #Signal Processing (eess.SP) #Sparse and Compressive Sensing Techniques #Ultrasonics and Acoustic Wave Propagation #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1905.01030
openalex publication_date 2019/05/03 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In this paper, a new signal processing framework is proposed, in which the\narray time samples are represented in DOA-frequency domain through a single\nstage problem. It is shown that concatenated array data is well represented in\na \G dictionary atoms space, where \G columns correspond to\npixels in the DOA-frequency image. We present two approaches for the\n\G formation and compare the benefits and disadvantages of them. A\nmutual coherence guaranteed \G manipulation technique is also\nproposed. Furthermore, unlike most of the existing methods, the proposed\nproblem is reversible into the time domain, therefore, source recovery from the\nresulted DOA-frequency image is possible. The proposed representation in\nDOA-frequency domain can be simply transformed into a group sparse problem, in\nthe case of non-multitone sources in a given bandwidth. Therefore, it can also\nbe utilized as an effective wideband DOA estimator. In the simulation part, two\nscenarios of multitone sources with unknown frequency and DOA locations and\nnon-multitone wideband sources with assumed frequency region are examined. In\nmultitone scenario, sparse solvers yield more accurate DOA-frequency\nrepresentation compared to some noncoherent approaches. At the latter scenario,\nthe proposed method with group sparse solver outperforms some existing wideband\nDOA estimators in low SNR regime. In addition, sources' recovery simultaneous\nwith DOA estimation shows significant improvement compared to the conventional\ndelay and sum beamformer and without prerequisites required in sophisticated\nwideband beamformers.\n