DocumentCode :
3056699
Title :
Optimum waveform design and simulation with energy constraint for elastic targets
Author :
Bingqi Zhu ; Kaizhi Wang ; Xingzhao Liu ; Jianjun Li
Author_Institution :
Dept. of Electron. Inf. & Electr. Eng., Shanghai Jiao Tong Univ., Shanghai, China
fYear :
2013
fDate :
21-26 July 2013
Firstpage :
1676
Lastpage :
1679
Abstract :
In this paper, we apply the optimum waveform design method to meet the application of elastic targets detection and aim at enhance the target detection rate. The target is assumed to be Gaussian elastic targets and the clutter is assumed to be a stationary Gaussian random process. The detection problem then is described using Neyman-Pearson Detector. The waveform design solutions for elastic targets are given theoretically, and numerical simulated results are presented based on different transmit energy and comparison results between optimum signal and LFM signal are shown. Finally, the conclusions are drawn based on our analysis and simulations.
Keywords :
Gaussian processes; numerical analysis; object detection; radar interference; radar signal processing; random processes; Gaussian elastic target detection; Neyman-Pearson detector; energy constraint; interference signal suppression; noise signal suppression; optimum waveform design; optimum waveform simulation; radar; stationary Gaussian random process; target detection rate enhancement; Clutter; Detectors; Radar; Random processes; Signal to noise ratio; NP detector; Waveform design; radar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
ISSN :
2153-6996
Print_ISBN :
978-1-4799-1114-1
Type :
conf
DOI :
10.1109/IGARSS.2013.6723116
Filename :
6723116
Link To Document :
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