2016/11/11 by Mohamed Salah Ibrahim, Ibrahim, Mohamed, Venkatesh Ramireddy +16 · 1 citation
Computer Science · Engineering · #Advanced MIMO Systems Optimization #Antenna Design and Optimization #Direction-of-Arrival Estimation Techniques #FOS: Computer and information sciences #Information Theory (cs.IT)
paper · pdf · doi:10.48550/arxiv.1611.03699
openalex publication_date 2016/11/11 · openalex created_date 2022/10/03 · openalex updated_date 2026/07/28
In this paper we investigate the design of compressive antenna arrays for\ndirection of arrival (DOA) estimation that aim to provide a larger aperture\nwith a reduced hardware complexity by a linear combination of the antenna\noutputs to a lower number of receiver channels. We present a basic receiver\narchitecture of such a compressive array and introduce a generic system model\nthat includes different options for the hardware implementation. We then\ndiscuss the design of the analog combining network that performs the receiver\nchannel reduction, and propose two design approaches. The first approach is\nbased on the spatial correlation function which is a low-complexity scheme that\nin certain cases admits a closed-form solution. The second approach is based on\nminimizing the Cramer-Rao Bound (CRB) with the constraint to limit the\nprobability of false detection of paths to a pre-specified level. Our numerical\nsimulations demonstrate the superiority of the proposed optimized compressive\narrays compared to the sparse arrays of the same complexity and to compressive\narrays with randomly chosen combining kernels.\n