NDLI: CFAR detection of targets under directional noise background

Content Provider	IEEE Xplore Digital Library
Author	Wang, Q. Wan, C. Yang, Y.
Copyright Year	2003
Description	Author affiliation: Inf. Syst. Res. Lab, Nanyang Technol. Univ., Singapore (Wang, Q.; Wan, C.; Yang, Y.)
Abstract	For a radar or sonar system, target detection is a basic function of the system. In sensor array processing, target detection is facilitated by examining the beamformer output of the received signal. The conventional method integrates the beam power observations by simple summation or linear integration and no statistical information is used. However, if the noise environment is directional, this will result in non-CFAR (constant false alarm rate) detection performance. In this paper, we exploit generalized likelihood ratio test (GLRT) to design the detector. We divide the data sequence from all the sensors into different segments and calculate the power observation of each segment. Then the probability distributions of the power observation under both hypotheses are derived. The unknown parameters of the signal model can be estimated by moment estimation based on statistical properties of the observations. Compared with the conventional processor, the GLRT detector can normalize the background of the output test statistic so that it shows CFAR property. Under the noise with directionality, the new detector we developed can still work well while the conventional one will show a false result due to the directionality of the noise when the SNR is low. Simulation result shows that the GLRT detector can also be used for multiple targets situation.
Sponsorship	Dept. of the Navy Sci. and Technol. Coalition for Enhanced Marine Resources Orincon Ceros Harbour Offshore Inc
Starting Page	1697
Ending Page	1702
File Size	292429
Page Count	6
File Format	PDF
ISBN	0933957300
DOI	10.1109/OCEANS.2003.178133
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-09-22
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	MTS
Subject Keyword	Background noise Detectors Object detection Testing Radar detection Sonar detection Sensor arrays Array signal processing Signal processing Working environment noise
Content Type	Text
Resource Type	Article

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