PF-UKF-RJMCMC Approaches for Radar Target-Tracking

2009 ◽  
Author(s):  
Zhao Huibo ◽  
Pan Quan
Keyword(s):  
Target Tracking ◽  
Radar Target

Experiments Using Window to Measure High-Altitude Winds

1956 ◽  
Vol 37 (9) ◽  
pp. 454-457 ◽  
Author(s):  
Albert D. Anderson ◽  
Walter E. Hoehne
Keyword(s):  
High Altitude ◽  
Target Tracking ◽  
New Technique ◽  
Radar Target ◽  
Metal Foil ◽  
Altitude Range ◽  
Wind Velocities

Strips of metal foil (window), dispersed by balloon and aircraft, have been tracked by radar to measure wind velocities at altitudes up to 74,000 feet. These wind velocities have been compared with those measured over the same altitude range by GMD-1A equipment and radar-target tracking. The results indicate promise for obtaining high-altitude winds by this new technique. Further experiments envisioned for the 100,000 to 200,000 foot altitude range will necessitate the use of rockets to carry and eject the window.

scholarly journals Robust measurement validation for radar target tracking using prior information

2019 ◽  
Vol 13 (10) ◽  
pp. 1842-1849 ◽  
Author(s):  
Gyuejeong Lee ◽  
Jihoon Kwon ◽  
Nojun Kwak ◽  
Eunjung Yang
Keyword(s):  
Target Tracking ◽  
Prior Information ◽  
Radar Target ◽  
Measurement Validation

Radar Target Tracking Error Research Using Kalman Filter-Based Algorithms

2012 ◽  
Vol 239-240 ◽  
pp. 1184-1187
Author(s):  
Qian Long Chai ◽  
Yu Long Bai ◽  
Cun Hui Dong
Keyword(s):  
Kalman Filter ◽  
Target Tracking ◽  
Unscented Kalman Filter ◽  
Tracking Error ◽  
Substantial Effect ◽  
Specific Model ◽  
Radar Target ◽  
Tracking Accuracy ◽  
Tracking Errors ◽  
Radar Systems

The methods of radar target tracking have a substantial effect on the accuracy of the whole radar systems. The basic principles and implementing steps of the Extended Kalman filter (the EKF) and the Unscented Kalman filter (the UKF) are briefly introduced. The main sources of radar observation errors and the limitation of the current methods are analyzed. According to the requirements of tracking a CV target, the EKF and the UKF are used to simulate the experiments by establishing the specific model of radar target tracking. The results show that the tracking errors can be constrained within a certain range and the whole systems also have the high tracking accuracy.

Particle filter initialization in non-linear non-Gaussian radar target tracking

2007 ◽  
Vol 18 (3) ◽  
pp. 491-496 ◽  
Author(s):  
Wang Lian ◽  
Jin Yonggao ◽  
Dai Dingzhang ◽  
Dong Huachun ◽  
Quan Taifan
Keyword(s):  
Particle Filter ◽  
Target Tracking ◽  
Radar Target ◽  
Non Linear ◽  
Non Gaussian

Research on Velocity Measurement of PD Radar Based on Non-Coherent Accumulation and Waveform Analysis

2014 ◽  
Vol 513-517 ◽  
pp. 2999-3002
Author(s):  
Xu Dong Zhang ◽  
Yun Neng Yuan ◽  
Jun Wang
Keyword(s):  
Radial Velocity ◽  
Target Tracking ◽  
Velocity Measurement ◽  
Measurement Accuracy ◽  
Waveform Analysis ◽  
Radar Target ◽  
Running Time ◽  
Coherent Accumulation ◽  
High Measurement ◽  
High Measurement Accuracy

According to the process of PD radar target tracking, the radial motion of target has a significant impact on velocity measurement. Simulation shows that there is an apparent relation between radial velocity and non-coherent accumulated waveform. Based on the calculation of the entropy of non-coherent accumulated waveform, a method based on waveform entropy in velocity measurement is proposed. Experiments show that the new method can achieve high measurement accuracy, and is insensitive to velocity. At the same time, a rough estimation of velocity is used to shorten the running time.

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