In this paper we investigate the design of compressive antenna arrays for narrow-band
direction of arrival (DOA) estimation that aim to provide a larger aperture with a reduced …

Advances in compressed sensing (CS) theory have brought new perspectives to encoding
and decoding of signals with sparse representations. The encoding strategies are …

Design of measurement matrices is an important aspect of compressed sensing (CS) based
direction of arrival (DoA) applications that enables reduction in the analog channels to be …

Direction of arrival (DOA) estimation is an important research area having exten-sive
applications including radar, sonar, wireless communications, and electronic warfare …

Sensing matrix design is an important aspect that affects the performance of the
compressive sensing based reconstruction algorithms. In this paper, we present a novel …

Transmitter beam pattern design has a crucial role in direction of arrival (DoA) estimation for
radar/sonar applications. For a good DoA estimation performance, power amplifiers are …

Compressed sensing (CS) based direction of arrival (DOA) estimation enables high
performance with reduced hardware complexity. An important aspect affecting the …

Compressive sensing (CS) techniques are able to decrease hardware complexity in various
applications including direction of arrival (DoA) estimation using antenna arrays. In CS …

Compressive sensing (CS) has led to significant performance improvements in many
research areas including medical imaging, image processing, and direction of arrival (DOA) …

Sparse direction of arrival (DOA) estimation has become highly popular especially after the
development of compressive sensing (CS) theory. For hardware and/or software efficiency, it …