Designing FDA Radars Robust to Contaminated Shared Spectra
Wenkai Jia, Andreas Jakobsson, and Wen-Qin Wang

TL;DR
This paper develops a joint design method for FDA radar transmit waveforms and weights to enhance spectral compatibility and interference suppression in congested environments, verified through numerical simulations.
Contribution
It introduces a novel joint design scheme for FDA radar waveforms and weights that improves spectral efficiency and interference mitigation in spectrally congested settings.
Findings
Enhanced SINR performance demonstrated in simulations
Effective spectral compatibility achieved
Improved interference cancellation with joint design
Abstract
This paper considers the problem of jointly designing the transmit waveforms and weights for a frequency diverse array (FDA) in a spectrally congested environment in which unintentional spectral interferences exist. Exploiting the properties of the interference signal induced by the processing of the multi-channel mixing and low-pass filtering FDA receiver, the interference covariance matrix structure is derived. With this, the receive weights are formed using the minimum variance distortionless response (MVDR) method for interference cancellation. Owing to the fact that the resulting output signal-to-interference-plus-noise ratio (SINR) is a function of the transmit waveforms and weights, as well as due to the ever-greater competition for the finite available spectrum, a joint design scheme for the FDA transmit weights and the spectrally compatible waveforms is proposed to efficiently…
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Taxonomy
TopicsRadar Systems and Signal Processing · Antenna Design and Optimization · Direction-of-Arrival Estimation Techniques
