Impact of Radar and Communication Coexistence on Radar's Detectable Target Parameters
Haya Shajaiah, Ahmed Abdelhadi, and Charles Clancy

TL;DR
This paper proposes a spectrum sharing algorithm for MIMO radars and LTE systems that minimizes performance loss in detecting target parameters by optimally projecting radar waveforms onto interference channels.
Contribution
It introduces a novel spectrum sharing method that preserves radar detection capabilities while coexisting with LTE cellular systems.
Findings
Minimal loss in radar detection performance with the proposed algorithm
Effective selection of interference channels to avoid LTE base station interference
Analytical and simulation results validate the approach
Abstract
In this paper, we present our spectrum sharing algorithm between a multi-input multi-output (MIMO) radar and Long Term Evolution (LTE) cellular system with multiple base stations (BS)s. We analyze the performance of MIMO radars in detecting the angle of arrival, propagation delay and Doppler angular frequency by projecting orthogonal waveforms onto the null-space of interference channel matrix. We compare and analyze the radar's detectable target parameters in the case of the original radar waveform and the case of null-projected radar waveform. Our proposed spectrum-sharing algorithm causes minimum loss in radar performance by selecting the best interference channel that does not cause interference to the i'th LTE base station due to the radar signal. We show through our analytical and simulation results that the loss in the radar performance in detecting the target parameters is…
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Taxonomy
TopicsRadar Systems and Signal Processing · Advanced SAR Imaging Techniques · Cognitive Radio Networks and Spectrum Sensing
