Title :
Design of digital pulse compression filters using convex optimization
Author :
Guo Guo-qiang ; Yu Lei ; Lei Zhi-yong
Author_Institution :
Nanjing Res. Inst. of Electron. Technol., Nanjing, China
Abstract :
A method of digital pulse compression filters design using convex optimization is proposed in this paper. This method can provide the optimal tradeoff among the width of main lobe, the peak side lobe level, the gain loss and the Doppler tolerance. For different application situations, two different optimization rules are presented, including minimizing the peak side lobe level and minimizing the gain loss. Using different optimization rules, digital pulse compression filters with different desiring responses can be designed flexibly for practice applications. The simulation results illustrate the efficiency of the proposed method.
Keywords :
Doppler effect; convex programming; filtering theory; minimisation; pulse compression; Doppler tolerance; convex optimization; digital pulse compression filter design; gain loss minimization; peak side lobe level minimization; Convex functions; Digital filters; Doppler effect; Educational institutions; Gain; Radar; Signal to noise ratio;
Conference_Titel :
Radar Conference, 2014 IEEE
Conference_Location :
Cincinnati, OH
Print_ISBN :
978-1-4799-2034-1
DOI :
10.1109/RADAR.2014.6875738