A single observer passive location method and accuracy analysis using phase difference rate of change only

2008 ◽  
Author(s):  
Qiang Wang ◽  
Fucheng Guo ◽  
Yiyu Zhou
Keyword(s):  
Phase Difference ◽  
Rate Of Change ◽  
Accuracy Analysis ◽  
Passive Location ◽  
Location Method

Passive location method and accuracy analysis with phase difference rate measurements

2001 ◽  
Vol 148 (5) ◽  
pp. 302 ◽  
Author(s):  
X.-P. Deng ◽  
Z. Liu ◽  
W.-L. Jiang ◽  
Y.-Y. Zhou ◽  
Y.-W. Xu
Keyword(s):  
Phase Difference ◽  
Accuracy Analysis ◽  
Passive Location ◽  
Location Method

An Improved Airborne Passive Location & Tracking Algorithm Using the Rate-of-change of Phase Difference

2014 ◽  
Vol 35 (1) ◽  
pp. 68-73 ◽  
Author(s):  
Wang-xi Li ◽  
Chang-qiang Huang ◽  
Yong Wang ◽  
Tong Han ◽  
Chuan-lin Tang ◽  
...  
Keyword(s):  
Phase Difference ◽  
Rate Of Change ◽  
Tracking Algorithm ◽  
Location Tracking ◽  
Passive Location

scholarly journals Passive Location Method Based on Phase Rate of Change

2002 ◽  
Vol 15 (1) ◽  
pp. 49-54 ◽  
Author(s):  
Yue-hui SHAN ◽  
Wei AN ◽  
Zhong-kang SUN ◽  
Fu-kan HUANG
Keyword(s):  
Rate Of Change ◽  
Passive Location ◽  
Location Method

An Effective Single Passive Location Method Based on Near Space Vehicle for Ground Fixed Emitter

2014 ◽  
Vol 651-653 ◽  
pp. 953-956 ◽  
Author(s):  
Fu Lai Liu ◽  
Hui Jia
Keyword(s):  
Space Vehicle ◽  
Target Position ◽  
Position Estimation ◽  
Rate Of Change ◽  
Passive Location ◽  
Key Technology ◽  
Location Method ◽  
Near Space ◽  
Cubature Kalman Filter ◽  
Ground Target

Ground target position estimation of near space vehicle is the key technology in military and civilian field. In this paper, we propose an effective method using the cubature Kalman filter (CKF) based on direction of arrival (DOA) and its rate of change. Comparisons with the location method only using DOA and the classic EKF algorithm are conducted respectively. Simulation results indicate that the proposed method has faster convergence speed and better location precision.

Application of UKF Algorithm in Airborne Single Observer Passive Location

2011 ◽  
Vol 267 ◽  
pp. 356-362
Author(s):  
Li Bo Qiu ◽  
Hui Yi Su ◽  
Hao Hu ◽  
Sheng Lin Huang ◽  
Jie Wang ◽  
...  
Keyword(s):  
Kalman Filter ◽  
High Precision ◽  
Phase Difference ◽  
Unscented Kalman Filter ◽  
Rate Change ◽  
Passive Location ◽  
Rapid Convergence ◽  
Location Method ◽  
Wide Range ◽  
Simulation Results

Airborne Single Observer Passive Location have the characteristics of mobility and a wide range impaction, while location method based on the rate change of phase difference also has the characteristic of getting the position quickly and having a high precision. Studied the Unscented Kalman Filter (UKF) apply in Airborne Single Observer Passive Location. It gave out the principle of the position method based on the rate change of phase difference. And it introduced the filtering principle and the filtering process of the UKF algorithm. The simulation results show that, UKF algorithm used in Airborne Single Observer Passive Location have an accurately positioning and rapid convergence.

An Improved Airborne Single Observer Passive Location

2012 ◽  
Vol 157-158 ◽  
pp. 1533-1536
Author(s):  
Yong Wang ◽  
Chang Qiang Huang ◽  
Zheng Wang ◽  
Wang Xi Li
Keyword(s):  
Angular Velocity ◽  
Phase Difference ◽  
Measurement Problem ◽  
Doppler Frequency ◽  
Original Method ◽  
Parameter Measurement ◽  
Frequency Change ◽  
Passive Location ◽  
Change Rate ◽  
Domain Information

Using phase difference change rate’s augmentation to angular velocity, an improved passive location is developed,which solves the high precision parameter measurement problem of angular velocity in passive location and tracking via spatial-frequency domain information. The simulation shows that this method can reduce the difficulties of parameter measurement. The ranging error is mainly affected by the measurement error of phase difference change rate and doppler frequency change rate. Compared with the original method, it has higher passive location precision.

Sign in / Sign up

Export Citation Format

Share Document