32 citations · 48 across the 5 of their papers we have counts for
5 papers
Bayesian Compressive Sensing Approaches for Direction of Arrival Estimation with Mutual Coupling Effects
Matthew Hawes, Lyudmila Mihaylova, François Septier +1
The problem of estimating the dynamic direction of arrival of far field signals impinging on a uniform linear array, with mutual coupling effects, is addressed. This work proposes…
Location and Orientation Optimisation for Spatially Stretched Tripole Arrays Based on Compressive Sensing
Matthew Hawes, Lyudmila Mihaylova, Wei Liu
The design of sparse spatially stretched tripole arrays is an important but also challenging task and this paper proposes for the very first time efficient solutions to this proble…
Compressive Sensing Based Design of Sparse Tripole Arrays
Matthew Hawes, Wei Liu, Lyudmila Mihaylova
This paper considers the problem of designing sparse linear tripole arrays. In such arrays at each antenna location there are three orthogonal dipoles, allowing full measurement of…
A Bayesian Compressed Sensing Kalman Filter for Direction of Arrival Estimation
Matthew Hawes, Lyudmila Mihaylova, Francois Septier +1
In this paper, we look to address the problem of estimating the dynamic direction of arrival (DOA) of a narrowband signal impinging on a sensor array from the far field. The initia…
A Compressive Sensing Based Approach to Sparse Wideband Array Design
Matthew B. Hawes, Wei Liu
Sparse wideband sensor array design for sensor location optimisation is highly nonlinear and it is traditionally solved by genetic algorithms, simulated annealing or other similar…