Title :
Robust MIMO radar detection for correlated subarrays
Author :
Chong, C.Y. ; Pascal, F. ; Ovarlez, J.-P. ; Lesturgie, M.
Author_Institution :
SONDRA, Supelec, Gif-sur-Yvette, France
Abstract :
Previously, the well-known Optimum Gaussian Detector (OGD) has been extended to the Multiple-Input Multiple-Output (MIMO) case where all transmit-receive subarrays are considered jointly as a system such that only one detection threshold is used. In this extension, all subarrays have been assumed to be widely separated and the transmitted waveforms are assumed to be orthogonal. However, the necessary separation needed for each subarray to be uncorrelated depends on several factors and it might not be possible to ensure that this condition is always respected, especially in the case of moving platforms. Moreover, perfectly orthogonal waveforms do not exist. Hence, we consider in this paper, a new robust MIMO detector that is able to maintain the same Probability of False Alarm (Pfa) irregardless of the correlation between the subarrays.
Keywords :
Gaussian processes; MIMO radar; array signal processing; correlation methods; radar detection; waveform analysis; MIMO radar detection; correlated subarray; false alarm probability; multiple-input multiple-output RADAR; optimum Gaussian detector; orthogonal waveform; transmit-receive subarray; Clutter; Detectors; Frequency; MIMO; Maximum likelihood detection; Probability; Radar cross section; Radar detection; Robustness; Testing; Correlation; MIMO Radar; Probability of False Alarm; Robust;
Conference_Titel :
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4244-4295-9
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2010.5496211