scholarly journals The IR Characteristics Modeling and Simulation of the HEO Target

2018 ◽  
Vol 179 ◽  
pp. 01024
Author(s):  
Tao Dongxing ◽  
Lin Boying ◽  
Du Peng ◽  
Bi Yanqiang ◽  
Shang Yonghong ◽  
...  
Keyword(s):  
Target Detection ◽  
Design Space ◽  
Simulation Data ◽  
Detection And Tracking ◽  
Calculation Results ◽  
Ground Test ◽  
Processing Algorithms ◽  
Imaging Sensor ◽  
Space Target ◽  
Data Processing Algorithms

Space target infrared (IR) characteristics model can be used to design space target detection sensor, generating simulation data to validate the data processing algorithms, such as target detection and tracking. In the work, a HEO target IR characteristics model is built. The model consists of the geometry module and the IR radiometric module. Unlike the traditional space IR model, the temperature of cabin inner is used as the simulation origin. Using the model, the irradiance spectra of HEO target are calculated for different target temperature. With the calculation results, the main wavelength range for HEO detection is analyzed. Using the equvalent temperature, the work also designs a simulative target, which has the similar IR characteristics of a HEO target. The simulator can be used in the ground test for the imaging sensor or target decoy.

scholarly journals Micromotion Feature Extraction of Space Target Based on Track-Before-Detect

2017 ◽  
Vol 2017 ◽  
pp. 1-14 ◽  
Author(s):  
Yijun Chen ◽  
Qun Zhang ◽  
Ying Luo ◽  
Tat Soon Yeo
Keyword(s):  
Feature Extraction ◽  
Target Detection ◽  
Feedback Loop ◽  
Feature Extraction Method ◽  
Feature Parameters ◽  
Detection And Tracking ◽  
Transition Set ◽  
Target Detecting ◽  
Track Before Detect ◽  
Space Target

The micromotion feature of space target provides an effective approach for target recognition. The existing micromotion feature extraction is implemented after target detection and tracking; thus the radar resources need to be allocated for target detection, tracking, and feature extraction, successively. If the feature extraction can be implemented by utilizing the target detecting and tracking pulses, the radar efficiency can be improved. In this paper, by establishing a feedback loop between micromotion feature extraction and track-before-detect (TBD) of target, a novel feature extraction method for space target is proposed. The TBD technology is utilized to obtain the range-slow-time curves of target scatterers. Then, micromotion feature parameters are estimated from the acquired curve information. In return, the state transition set of TBD is updated adaptively according to these extracted feature parameters. As a result, the micromotion feature parameters of space target can be extracted concurrently with implementing the target detecting and tracking. Simulation results show the effectiveness of the proposed method.

Maneuver detection and tracking of a space target based on a joint filter model

2020 ◽  
Author(s):  
Liu Ye ◽  
Zhao Hua ◽  
Liu Chuankai ◽  
Cao Jianfeng ◽  
Wang Junkui
Keyword(s):  
Filter Model ◽  
Detection And Tracking ◽  
Space Target
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