Target detection and tracking with a high frequency ground wave radar

1994 ◽  
Vol 19 (4) ◽  
pp. 540-548 ◽  
Author(s):  
R. Khan ◽  
B. Gamberg ◽  
D. Power ◽  
J. Walsh ◽  
B. Dawe ◽  
...  
Keyword(s):  
Target Detection ◽  
High Frequency ◽  
Detection And Tracking ◽  
Wave Radar ◽  
Ground Wave

Bi-Station Multi-Target Tracking Using Range and Doppler Measurements

2013 ◽  
Vol 329 ◽  
pp. 338-343
Author(s):  
Tian Jiao Fu ◽  
Li Guo Zhang ◽  
Jian Yue Ren
Keyword(s):  
Target Tracking ◽  
High Frequency ◽  
Radar System ◽  
Tracking Algorithm ◽  
Range Finding ◽  
Wave Radar ◽  
Multi Target Tracking ◽  
Actual Environment ◽  
Simulation Results ◽  
Ground Wave

The azimuthal measurements of the high frequency ground wave radar are poor in an actual environment, which can cause the plots highly decentralized and damage the formation of the over-the-horizon tracks. To solve the problem, a new radar system is proposed to triangulate target tracks using range and Doppler measurements only. On the basis of the analysis of the characteristics of the range-finding location, a multi-target tracking algorithm under non-clutter condition is given in this paper, which further improves the tracking algorithm of this system. Simulation results show the effectiveness of this method.

Comparison and error analysis of remotely measured waveheight by high frequency ground wave radar

2006 ◽  
Vol 24 (1) ◽  
pp. 28-34
Author(s):  
Guo Peifang ◽  
Hou Yijun ◽  
Han Shuzong ◽  
Zhou Liangmin ◽  
Zhan Xianglun
Keyword(s):  
Error Analysis ◽  
High Frequency ◽  
Wave Radar ◽  
Ground Wave

scholarly journals Weak Target Detection within the Nonhomogeneous Ionospheric Clutter Background of HFSWR Based on STAP

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Xin Zhang ◽  
Qiang Yang ◽  
Weibo Deng
Keyword(s):  
Target Detection ◽  
High Frequency ◽  
Training Data ◽  
Data Set ◽  
Radar Echoes ◽  
Wave Radar ◽  
New Strategy ◽  
Ocean Environment ◽  
Training Data Selection ◽  
Weak Target

High Frequency Surface Wave Radar (HFSWR) can perform the functions of ocean environment monitoring, target detection, and target tracking over the horizon. However, its system's performance is always limited by the severe ionospheric clutter environment, especially by the nonhomogeneous component. The nonhomogeneous ionospheric clutter generally can cover a few Doppler shift units and a few angle units. Consequently, weak targets masked by the nonhomogeneous ionospheric clutter are difficult to be detected. In this paper, a novel algorithm based on angle-Doppler joint eigenvector which considers the angle-Doppler map of radar echoes is adopted to analyze the characteristics of the nonhomogeneous ionospheric clutter. Given the measured data set, we first investigate the correlation between the signal of interest (SOI) and the nonhomogeneous ionospheric clutter and then the correlation between the nonhomogeneous ionospheric clutters in different two ranges. Finally, a new strategy of training data selection is proposed to improve the joint domain localised (JDL) algorithm. Simulation results show that the improved-JDL algorithm is effective and the performance of weak target detection within nonhomogeneous ionospheric clutter is improved.

Sign in / Sign up

Export Citation Format

Share Document