Signal Detection in Distributed MIMO Radar with Non-Orthogonal Waveforms and Sync Errors
Hongbin Li, Fangzhou Wang, Cengcang Zeng, and Mark A. Govoni

TL;DR
This paper investigates how non-orthogonal waveforms and synchronization errors affect target detection in distributed MIMO radar, proposing new detectors and analyzing their performance under various error conditions.
Contribution
It introduces a general signal model for distributed MIMO radar with non-orthogonal waveforms, and develops new detection methods with analytical performance expressions.
Findings
Cross terms can enhance or impair detection depending on offsets.
Phase errors impact only coherent detectors.
Frequency errors degrade all detectors except non-coherent.
Abstract
Although routinely utilized in literature, orthogonal waveforms may lose orthogonality in distributed multi-input multi-output (MIMO) radar with spatially separated transmit (TX) and receive (RX) antennas, as the waveforms may experience distinct delays and Doppler frequency offsets unique to different TX-RX propagation paths. In such cases, the output of each waveform-specific matched filter (MF), employed to unravel the waveforms at the RXs, contains both an \auto term and multiple cross terms, i.e., the filtered response of the desired and, respectively, undesired waveforms. We consider the impact of non-orthogonal waveforms and their cross terms on target detection with or without timing, frequency, and phase errors. To this end, we present a general signal model for distributed MIMO radar, examine target detection using existing coherent/non-coherent detectors and two new…
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