Sparse array reconfigurability via fast switching is pivotal to a realizable perception-action
cycle of cognition in dynamic radio frequency (RF) environments. In this paper, we propose …

The chapter considers sparse array beamforming design via machine learning with the
learning objective of maximum signal‐to‐interference plus noise ratio (MaxSINR). The …

Sparse arrays offer additional spatial degrees of freedom associated with nonuniform inter-
element sensor spacing over the array aperture. This flexibility enables both the array …

The use of large antenna arrays is becoming a key component of current and future wireless
communication systems. This is attributed to their high beamforming gains, which are critical …

Multi‐input multi‐output (MIMO) array radar is a new type of radar system that adopts
waveform diversity technology at the transmitter and thus different transmit antennas can …

Hybrid beamforming of mixed analog and digital weights has emerged as an important
technology in radar, communications, and their integrated platforms. Fully connected hybrid …

Sparse arrays have been recently applied to spectral sensing of wideband spectrum where
the array is configured to estimate the directions of co-frequency emitters and also …

The ability of sparse arrays to significantly reduce the hardware cost and complexity over a
uniform linear array (ULA) is advantageous for a variety of applications with large array …