scholarly journals 3D Target Localization by Using Particle Filter with Passive Radar Having one Non-cooperative Transmitter and one Receiver

2021 ◽  
Vol 17 (1) ◽  
pp. 36-43
Author(s):  
Anas Mahmoud Almanofi ◽  
Adnan Malki ◽  
Ali Kazem
Keyword(s):  
Particle Filter ◽  
Target Localization ◽  
Passive Radar

Maritime Target Localization from Bistatic Range Measurements in Space-Based Passive Radar

2021 ◽  
pp. 1-1
Author(s):  
Mohammad Sadeghi ◽  
Fereidoon Behnia ◽  
Rouhollah Amiri
Keyword(s):  
Target Localization ◽  
Passive Radar ◽  
Range Measurements

scholarly journals Method of Calculating Desynchronization of DVB-T Transmitters Working in SFN for PCL Applications

Sensors ◽  
2020 ◽  
Vol 20 (20) ◽  
pp. 5776
Author(s):  
Karol Klincewicz ◽  
Piotr Samczyński
Keyword(s):  
Digital Video ◽  
Time Difference ◽  
Target Localization ◽  
Single Frequency ◽  
Passive Radar ◽  
Time Difference Of Arrival ◽  
Digital Video Broadcasting ◽  
Video Broadcasting ◽  
Novel Method ◽  
Result Analysis

This paper presents a novel method of calculating desynchronization between transmitters working in a single frequency digital video broadcasting-terrestrial (DVB-T) network. The described method can be a useful tool for enhancing passive radar operations and improving passive coherent location (PCL) sensors to correct their measurements of target localization. The paper presents the problem of localizing DVB-T transmitters utilized by passive radars, and proposes a novel method based on Time Difference of Arrival (TDoA) techniques to solve the problem. The proposed technique has been validated using real signals collected by a PCL sensor receiver. The details of the experiment and extensive result analysis are also contained in this article.

Algorithm for Target Tracking Using Passive Radar

2012 ◽  
Vol 58 (4) ◽  
pp. 345-350 ◽  
Author(s):  
Mateusz Malanowski
Keyword(s):  
Target Tracking ◽  
Real Data ◽  
Tracking Algorithm ◽  
Target Localization ◽  
Passive Radar ◽  
Localization Algorithm ◽  
Two Stage ◽  
Cartesian Coordinates ◽  
The Real ◽  
University Of Technology

Abstract In the paper the problem of target tracking in passive radar is addressed. Passive radar measures bistatic parameters of a target: bistatic range and bistatic velocity. The aim of the tracking algorithm is to convert the bistatic measurements into Cartesian coordinates. In the paper a two-stage tracking algorithm is presented, using bistatic and Cartesian tracking. In addition, a target localization algorithm is applied to initialize Cartesian tracks from bistatic measurements. The tracking algorithm is tested using simulated and real data. The real data were obtained from an FM-based passive radar called PaRaDe, developed at Warsaw University of Technology.

A novel algebraic solution for moving target localization in multi-transmitter multi-receiver passive radar

2018 ◽  
Vol 143 ◽  
pp. 303-310 ◽  
Author(s):  
Yongsheng Zhao ◽  
Yongjun Zhao ◽  
Chuang Zhao
Keyword(s):  
Target Localization ◽  
Algebraic Solution ◽  
Moving Target ◽  
Passive Radar

scholarly journals A Support Vector Learning-Based Particle Filter Scheme for Target Localization in Communication-Constrained Underwater Acoustic Sensor Networks

Sensors ◽  
2017 ◽  
Vol 18 (2) ◽  
pp. 8 ◽  
Author(s):  
Xinbin Li ◽  
Chenglin Zhang ◽  
Lei Yan ◽  
Song Han ◽  
Xinping Guan
Keyword(s):  
Sensor Networks ◽  
Particle Filter ◽  
Target Localization ◽  
Support Vector ◽  
Acoustic Sensor ◽  
Underwater Acoustic Sensor Networks ◽  
Underwater Acoustic ◽  
Acoustic Sensor Networks

scholarly journals Refining Inaccurate Transmitter and Receiver Positions Using Calibration Targets for Target Localization in Multi-Static Passive Radar

Sensors ◽  
2019 ◽  
Vol 19 (15) ◽  
pp. 3365 ◽  
Author(s):  
Yongsheng Zhao ◽  
Dexiu Hu ◽  
Yongjun Zhao ◽  
Zhixin Liu ◽  
Chuang Zhao
Keyword(s):  
Lower Bound ◽  
Closed Form Solution ◽  
Form Solution ◽  
Measurement Noise ◽  
Target Localization ◽  
Passive Radar ◽  
Localization Accuracy ◽  
Position Errors ◽  
Simulation Results ◽  
Calibration Step

Transmitter and receiver position errors have been known to significantly deteriorate target localization accuracy in a multi-static passive radar (MPR) system. This paper explores the use of calibration targets, whose positions are known to the MPR system, to counter the loss in target localization accuracy arising from transmitter/receiver position errors. This paper firstly evaluates the Cramér–Rao lower bound (CRLB) for bistatic range (BR)-based target localization with calibration targets, which analytically indicates the potential of calibration targets in enhancing localization accuracy. After that, this paper proposes a novel closed-form solution, which includes two steps: calibration step and localization step. Firstly, the calibration step is devoted to refine the inaccurate transmitter and receiver locations using the BR measurements from the calibration targets, and then in the calibration step, the target localization can be accurately achieved by using the refined transmitter/receiver positions and the BR measurements from the unknown target. Theoretical analysis and simulation results indicate that the proposed method can attain the CRLB at moderate measurement noise level, and exhibits the superiority of localization accuracy over existing algorithms.

Array based passive radar target localization

2016 ◽  
Author(s):  
Jamie H. Huang ◽  
J. L. Garry ◽  
G. E. Smith ◽  
C. J. Baker
Keyword(s):  
Target Localization ◽  
Radar Target ◽  
Passive Radar

Target Localization from Bistatic Range Measurements in Multi-Transmitter Multi-Receiver Passive Radar

2015 ◽  
Vol 22 (12) ◽  
pp. 2445-2449 ◽  
Author(s):  
Ali Noroozi ◽  
Mohammad Ali Sebt
Keyword(s):  
Target Localization ◽  
Passive Radar ◽  
Range Measurements

Two Methods for Target Localization in Multistatic Passive Radar

2012 ◽  
Vol 48 (1) ◽  
pp. 572-580 ◽  
Author(s):  
M. Malanowski ◽  
K. Kulpa
Keyword(s):  
Target Localization ◽  
Passive Radar
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