DocumentCode :
2961637
Title :
Optimal multicarrier phase-coded waveform design for detection of extended targets
Author :
Sen, Satyaki ; Glover, Charles W.
Author_Institution :
Comput. Sci. & Math. Div., Oak Ridge Nat. Lab., Oak Ridge, TN, USA
fYear :
2013
fDate :
April 29 2013-May 3 2013
Firstpage :
1
Lastpage :
6
Abstract :
We design a parametric multicarrier phase-coded (MCPC) waveform that achieves the optimal performance in detecting an extended target in the presence of signal-dependent interference. Traditional waveform design techniques provide only the optimal energy spectral density of the transmit waveform and suffer a performance loss in the synthesis process of the time-domain signal. Therefore, we opt for directly designing an MCPC waveform in terms of its time-frequency codes to obtain the optimal detection performance. First, we describe the modeling assumptions considering an extended target buried within the signal-dependent clutter with known power spectral density, and deduce the performance characteristics of the optimal detector. Then, considering an MCPC signal transmission, we express the detection characteristics in terms of phase-codes of the MCPC waveform and propose to optimally design the MCPC signal by maximizing the detection probability. Our numerical results demonstrate that the designed MCPC signal attains the optimal detection performance and requires a lesser computational time than the other parametric waveform design approach.
Keywords :
object detection; phase coding; signal detection; spectral analysis; time-frequency analysis; MCPC signal transmission; computational time; extended target detection; optimal detection performance; optimal detector; optimal energy spectral density; optimal multicarrier phase-coded waveform design; parametric MCPC waveform; parametric multicarrier phase-coded waveform; power spectral density; signal-dependent interference; time-domain signal; time-frequency codes; waveform transmission; Clutter; Detectors; Electrostatic discharges; Noise; Radar; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference (RADAR), 2013 IEEE
Conference_Location :
Ottawa, ON
ISSN :
1097-5659
Print_ISBN :
978-1-4673-5792-0
Type :
conf
DOI :
10.1109/RADAR.2013.6586162
Filename :
6586162
Link To Document :
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