ASSA 2022 : Special Issue: Advances in Sparse Sensor Arrays

Dear Colleagues,

Sparse arrays, such as coprime and nested arrays, have recently attracted considerable attention for their application in improving active and passive sensing in radar, navigation, underwater acoustics and wireless communications. Sparse array signal processing provides a systematical framework for sparse sampling and array structure with enlarged aperture, enhanced spatial resolution, increased degrees of freedom (DOFs) and reduced mutual coupling. Difference-co-array-based approaches, e.g., spatial smoothing technique based algorithms, Toeplitz-property-based algorithms and sparse reconstruction methods, can circumvent spatial aliasing and offer unique a response to targets with sparse sampling in time, space and frequency. Temporal and spatial sparse samplings encounter merits in direction of arrival (DOA) estimation and adaptive beamforming.

Potential topics include but are not limited to the following:

Generalizations of co-prime and nested arrays for increased DOFs
Array geometry optimization for high-accuracy DOA estimation
Sparse array calibration and mutual coupling effect
Convex and nonconvex optimizations related to array signal processing
Off-grid and grid-less solutions to super-resolution
Sparse-recovery-based methods for DOA estimation
Robust DOA estimation in low SNR or small snapshot number
Multi-dimensional sparse array signal processing
Hardware implementation and design
Applications to sonar, radar, MRI, geolocation, and other areas

Keywords:

sensor array
DOA estimation
sparse sensor array
array signal processing

Prof. Dr. Xiaofei Zhang
Guest Editor