TY  - JOUR
JF  - EURASIP Journal on Advances in Signal Processing
A1  - Palama, R
A1  - Greco, M
A1  - Gini, F
KW  - Science & Technology
KW  -  Technology
KW  -  Engineering
KW  -  Electrical & Electronic
KW  -  Engineering
KW  -  COVARIANCE-MATRIX ESTIMATION
KW  -  COHERENT RADAR DETECTION
KW  -  BISTATIC SEA CLUTTER
KW  -  SIGNAL-DETECTION
KW  -  MIMO RADAR
KW  -  DECENTRALIZED DETECTION
KW  -  STATISTICAL-ANALYSIS
KW  -  OPTIMUM
KW  -  PERFORMANCE
N2  - This work addresses the problem of target detection for multistatic radars. We propose an algorithm that is able to keep constant the false alarm rate, when the disturbance samples associated with each receiver-transmitter pair are distributed according to a compound Gaussian model. The performance of the proposed detection algorithm are analysed to assess the impact of clutter diversity on detection performance. The results show that clutter statistical diversity has a strong impact on detection performance. The performance of both single-channel and multichannel detection schemes are evaluated by processing real sea clutter data collected by the NetRAD nodes, in order to evaluate which of the two channels, i.e. the bistatic and monostatic channels, is more favourable for target detection. Furthermore, the gain achieved by using a multistatic detection algorithm is also analysed.
ID  - discovery10059539
PB  - SPRINGER INTERNATIONAL PUBLISHING AG
UR  - https://doi.org/10.1186/s13634-016-0408-1
SN  - 1687-6180
N1  - This work is licensed under a Creative Commons Attribution 4.0 International License. The images
or other third party material in this article are included in the article?s Creative Commons license,
unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license,
users will need to obtain permission from the license holder to reproduce the material. To view a copy of this
license, visit http://creativecommons.org/licenses/by/4.0/
TI  - Multistatic adaptive CFAR detection in non-Gaussian clutter
AV  - public
VL  - 2016
Y1  - 2016/10/19/
EP  - 17
ER  -