Analysis and simulation of passive target tracking algorithm under polar coordinates

2003 ◽  
Author(s):  
Fei Chen ◽  
Zhongliang Jing ◽  
Feng Li
Keyword(s):  
Target Tracking ◽  
Tracking Algorithm ◽  
Polar Coordinates ◽  
Passive Target Tracking

Passive Tracking Algorithm with Transmitter Attribute Information

2017 ◽  
Vol 865 ◽  
pp. 586-594
Author(s):  
Feng Ding ◽  
Zhi Hong Ouyang
Keyword(s):  
Target Tracking ◽  
Measurement Accuracy ◽  
Tracking Algorithm ◽  
Dual Function ◽  
The Poor ◽  
Attribute Information ◽  
Passive Tracking ◽  
Passive Target Tracking ◽  
Complex Algorithm ◽  
Selection Of

Traditional passive tracking algorithms are usually subjected to problems such as the poor measurement accuracy of parameters of target motion, complex algorithm, instable tracking precision under complex circumstances. Aiming at this issue, in this paper we combined the dual function of transmitter identification and target tracking in passive reconnaissance, discussed the selection of transmitter eigenvector in passive tracking based on transmitter attribute information, established the passive tracking algorithm framework combined with transmitter attribute information, and then investigated passive tracking arithmetic model based on statistical regulation and ratiocinative regulation respectively, in the hope of providing new idea for passive target tracking.

scholarly journals A Horizontal Tracking Algorithm Suitable for Airborne Collision Avoidance System

2021 ◽  
Vol 5 (2) ◽  
Author(s):  
Yuchen Wang ◽  
Keyword(s):  
Kalman Filter ◽  
Target Tracking ◽  
Collision Avoidance ◽  
Unscented Kalman Filter ◽  
Simulation Method ◽  
Tracking Algorithm ◽  
Polar Coordinates ◽  
Tracking Model ◽  
Collision Avoidance System ◽  
Linear State

The horizontal tracker is essential for the reliable operation of the Airborne Collision Avoidance System (ACAS). In ACAS target tracking, for the non-linear state estimation problem of using sensor measurement values to track in Cartesian coordinates, this paper proposes a horizontal tracking algorithm based on the Augmented Unscented Kalman Filter (AUKF) to achieve the horizontal of the target. Accurate tracking of direction. Firstly, the tracking model of the relative horizontal state of the target aircraft is established, and then the data is processed by AUKF. In order to verify the effectiveness of the horizontal tracking algorithm, the computer simulation method is used to simulate the track of the local aircraft and the intruder in the horizontal direction, and noise is added to the measured values. The traditional Kalman Filter In Polar Coordinates (KFPC) and AUKF algorithm are used to filter the ACAS horizontal tracking. The simulation results show that AUKF can achieve more accurate target tracking.

The Study on Weighted Target Tracking Algorithm for Binary Sensor Networks

2010 ◽  
Vol 32 (9) ◽  
pp. 2052-2057
Author(s):  
Xiao-yan Sun ◽  
Jian-dong Li ◽  
Yan-hui Chen ◽  
Wen-zhu Zhang ◽  
Jun-liang Yao
Keyword(s):  
Sensor Networks ◽  
Target Tracking ◽  
Tracking Algorithm ◽  
Binary Sensor
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