Title :
A novel method of outline-tolerant radar data processing
Author :
Cui Shuhua ; Hu Shaolin ; Shen Si
Author_Institution :
State Key Lab. of Astronaut. Dynamics, Xi´an, China
Abstract :
Radar tracking measurement data is an important measurement element used to determine external-ballistic parameters in space instrumentation and command network. Aiming at conditions existing in measurement data such as high data volatility, data loss, data scattered, and data exception, this paper puts forward a novel filtering algorithm. By analyzing and comparing filtering used for measurement data, this paper considers that this algorithm may effectively and correctly realize signal extraction from data of various forms with impurities and errors; thus, providing effective technological means to increase external-ballistic data processing accuracy.
Keywords :
filtering theory; radar tracking; target tracking; command network; data exception; data loss; data volatility; external-ballistic data processing accuracy; external-ballistic parameters; filtering algorithm; moving target tracking measurement data; outline-tolerant radar data processing; radar tracking measurement data; signal extraction; space instrumentation; Data processing; Extraterrestrial measurements; Fault tolerance; Fault tolerant systems; Filtering; Signal to noise ratio; Smoothing methods; Comparative Analysis; Outline-Tolerant Method; Radar Data;
Conference_Titel :
Guidance, Navigation and Control Conference (CGNCC), 2014 IEEE Chinese
Conference_Location :
Yantai
Print_ISBN :
978-1-4799-4700-3
DOI :
10.1109/CGNCC.2014.7007570
