Title :
HF Radar Target identification Based on Optimized Multi-frequency Features
Author :
Wu, Guang-xin ; Deng, Wei-bo
Author_Institution :
Res. Inst. of Electron. Eng., Harbin Inst. of Technol.
Abstract :
In this paper, multi-frequency target radar cross section (RCS) of high frequency surface wave radar (HFSWR) is used for airplane target identification. Radar working frequency optimization selection is investigated for an optimization selection method based on the minimum classification error (MCE) rule in order to improve airplane target identification performance; Target RCS is compensated with the consideration of the influence of ground wave propagation attenuation and ocean wave additional loss. By using this method, identification results of ten types of airplane targets are given with different working frequency numbers in different signal to noise ratio (SNR). Simulations indicate that identification performance of frequency optimization is improved remarkably compared with the performance of random frequency selection, and the reliable airplane target identification using this method can be realized at lower SNR with fewer working frequency numbers
Keywords :
airborne radar; aircraft; electromagnetic wave propagation; ocean waves; radar cross-sections; radar target recognition; HF radar target identification; HFSWR; MCE rule; RCS; airplane target identification; ground wave propagation attenuation; high frequency surface wave radar; minimum classification error; ocean wave; optimization selection method; radar cross section; Airborne radar; Airplanes; Frequency; Hafnium; Optimization methods; Performance loss; Radar cross section; Sea surface; Signal to noise ratio; Surface waves; High frequency Radar identification; frequency select; multiple frequency;
Conference_Titel :
Radar, 2006. CIE '06. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
0-7803-9582-4
Electronic_ISBN :
0-7803-9583-2
DOI :
10.1109/ICR.2006.343491
