Adaptive Target Detection of High-range-resolution Radar in Non-Gaussian Clutter
- 10.2991/lemcs-15.2015.113How to use a DOI?
- High-range-resolution radar; Adaptive detection; Non-Gaussian clutter; Clutter spikiness; Singular matrix
Adaptive target detection of high-range-resolution radar in spherically invariant random vector clutter is investigated for a possibly singular estimated covariance matrix. Under an appropriate constraint on the unknown parameter space, the maximum likelihood estimates are obtained. By utilizing the modified recursive estimator for possibly singular covariance matrix estimation, the detector of adaptive restricted generalized likelihood ratio is devised for non-Gaussian scenarios. The results show that the proposed detector outperforms the existing Kelly binary integrator. As the number of equivalent scatterers increases, the detection performance improves whereas the performance gain decreases. Moreover, in the range of high values of detection probability, the detection performance decreases as the clutter spikiness increases, while the performance increases with increasing clutter spikes in the range of low values of detection probability.
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Lina Pan AU - Tao Jian AU - Yu Liu PY - 2015/07 DA - 2015/07 TI - Adaptive Target Detection of High-range-resolution Radar in Non-Gaussian Clutter BT - Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science PB - Atlantis Press SP - 592 EP - 595 SN - 1951-6851 UR - https://doi.org/10.2991/lemcs-15.2015.113 DO - 10.2991/lemcs-15.2015.113 ID - Pan2015/07 ER -