TY - GEN
T1 - A multi-target detector using mutual information for noise radar systems in low SNR regimes
AU - Kwon, Yangsoo
AU - Narayanan, Ram M.
AU - Rangaswamy, Muralidhar
PY - 2010
Y1 - 2010
N2 - Target detection is one of important roles of radar systems. In this paper, we present a detection method using total correlation based on information theory for noise radar systems which enables a system detects multiple targets at low signal to noise ratio regimes. The proposed method utilizes the largest eigenvalue of the sample covariance matrix to extract information from replica of the transmitted signal, and can perform better than the conventional total correlation detector when reflected signals have intermediate or low signal to noise ratio. In addition, in order to avoid ambiguous target detection, we find thresholds to guarantee the detection performance with the same receiving antenna elements for a given false alarm probability. The threshold is computed from the largest and smallest eigenvalue distributions based on random matrix theory. Simulations show the proposed detection method can be used for intermediate and low signal to noise ratio environments, and the thresholds provides exact target detection.
AB - Target detection is one of important roles of radar systems. In this paper, we present a detection method using total correlation based on information theory for noise radar systems which enables a system detects multiple targets at low signal to noise ratio regimes. The proposed method utilizes the largest eigenvalue of the sample covariance matrix to extract information from replica of the transmitted signal, and can perform better than the conventional total correlation detector when reflected signals have intermediate or low signal to noise ratio. In addition, in order to avoid ambiguous target detection, we find thresholds to guarantee the detection performance with the same receiving antenna elements for a given false alarm probability. The threshold is computed from the largest and smallest eigenvalue distributions based on random matrix theory. Simulations show the proposed detection method can be used for intermediate and low signal to noise ratio environments, and the thresholds provides exact target detection.
UR - http://www.scopus.com/inward/record.url?scp=78349235096&partnerID=8YFLogxK
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U2 - 10.1109/WDD.2010.5592388
DO - 10.1109/WDD.2010.5592388
M3 - Conference contribution
AN - SCOPUS:78349235096
SN - 9781424482009
T3 - 2010 International Waveform Diversity and Design Conference, WDD 2010
SP - 105
EP - 109
BT - 2010 International Waveform Diversity and Design Conference, WDD 2010
T2 - 2010 5th International Waveform Diversity and Design Conference, WDD 2010
Y2 - 8 August 2010 through 13 August 2010
ER -