Title :
Optimal Mismatch Network in Active Radar Reflector
Author :
Yiding Wang ; Hai Wang
Author_Institution :
North China Univ. of Technol., Beijing
Abstract :
The use of mismatch network to modulate the retransmitted signal of an active radar reflector (ARR) can separate the reflected ARR signal from background signals effectively. The effect of separation depends on the characteristics of the mismatch network. In order to achieve the best separation between the reflected ARR signal and background signals, we need to make optimization design of mismatch network. This paper gives out an optimal mismatch network, which is modeled as weighting functions. Based on the loss of signal noise rate (SNR), the optimal weighting coefficients can be solved. Simulation experiments with compression of line frequency modulate (LFM) signals were carried out. The results prove that the mismatch network could separate the reflected ARR signal from background signals effectively. The optimal weighting coefficients were solved with certain SNR conditions.
Keywords :
radar signal processing; synthetic aperture radar; active radar reflector; background signals; frequency modulate signals; optimal mismatch network; optimization design; signal noise rate; synthetic aperture radar; weighting functions; Azimuth; Calibration; Educational technology; Focusing; Microwave radiometry; Pulse modulation; Radar remote sensing; Signal processing; Signal to noise ratio; Synthetic aperture radar; LFM; mismatch network; radar reflector;
Conference_Titel :
Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3563-0
DOI :
10.1109/ETTandGRS.2008.108