Title :
Long-Term Integration Algorithm and System Design Using the Stepped-Frequency Signal
Author :
Lou Yang ; Liu Guoman ; Gao Meiguo ; Yuan Haojuan
Author_Institution :
Radar Res. Lab., Beijing Inst. of Technol., Beijing, China
Abstract :
A novel algorithm of multi-burst stepped-frequency signal co-processing are proposed, from which the high resolution in both range and velocity profile of moving targets can be achieved. A fast keystone transform is presented to remove the range migration between the bursts causing by the long-term integration, which is of efficiency to implementation. A real-time signal processing system is designed to process multiburst stepped-frequency signal in real-time and employ velocity compensation algorithm based on keystone transform.
Keywords :
real-time systems; signal processing; keystone transform; long-term integration algorithm; moving targets; real-time signal processing system; stepped-frequency signal co-processing; system design; velocity compensation algorithm; Frequency; High-resolution imaging; Radar clutter; Radar imaging; Radar signal processing; Real time systems; Signal design; Signal processing; Signal processing algorithms; Signal resolution;
Conference_Titel :
Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4994-1
DOI :
10.1109/ICIECS.2009.5366594