Title :
A Least-Squares Algorithm for Maneuvering Targets in HF Radar
Author :
Jun Tang ; Chengyu Hou ; Yiying Shen
Author_Institution :
Bei Hang Univ., Beijing, China
Abstract :
In this paper, a motion-correction algorithm for maneuvering targets (acceleration or turning) whose spectra of the HF radar echoes are significant spread is addressed. Such spreading which degrades the detection performance and parameters estimation of targets originates from the high-order time terms of the echoes´ phase. The least-squares method has been used to estimate these terms to correct the Doppler spectra for restoring the targets´ peaks. Simulation and experimental data results show that such technique is helpful to achieve the better targets´ spectra and the higher probability of detection.
Keywords :
echo; least squares approximations; object detection; parameter estimation; probability; radar cross-sections; radar detection; Doppler spectra; HF radar echoes; detection probability; high-order time terms; least-squares algorithm; motion-correction algorithm; parameter estimation; target maneuvering; Acceleration; Clocks; Degradation; Doppler radar; Hafnium; Phase detection; Radar detection; Radar tracking; Turning; Virtual colonoscopy;
Conference_Titel :
Innovative Computing, Information and Control (ICICIC), 2009 Fourth International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-4244-5543-0
DOI :
10.1109/ICICIC.2009.22