DocumentCode
1987714
Title
High dynamic signal pulling with biased Doppler aiding from INS
Author
Li, Peng ; Chen, Zhonggui ; Zheng, Jinjun ; Chu, Haibin
Author_Institution
Inst. of Spacecraft Syst. Eng., China Acad. of Space Technol., Beijing, China
fYear
2011
fDate
16-18 Sept. 2011
Firstpage
676
Lastpage
679
Abstract
Existing INS-aided GNSS re-acquisition method use either long coherent integration periods or non-coherent accumulation to obtain the required frequency resolution or acquire low C/No signals. Such methods need accurate position or velocity aiding, which is generally unavailable in many signal re-acquisition scenarios that use low-cost receiver oscillators and sensors. Furthermore, in high dynamic scenarios, the re acquisition result is not guaranteed with long time accumulation. In order to address these problems, a Doppler-only aiding pulling algorithm, based on Kalman filter is proposed. The algorithm uses biased Doppler values in the range ±50Hz to aid re acquisition using short period coherent integration. In order to mitigate the Doppler bias, an adjusted frequency accumulation algorithm has been developed. The simulation and real data experiments indicate that the proposed pulling algorithm can mitigate the bias of the aiding Doppler with low residual frequency than traditional non-coherent accumulation methods. The proposed method has potential application in high dynamic and low-cost sensors scenarios.
Keywords
Doppler effect; Kalman filters; oscillators; receivers; satellite navigation; signal detection; signal resolution; Doppler-only aiding pulling algorithm; INS-aided GNSS reacquisition method; Kalman filter; biased Doppler value; frequency accumulation algorithm; frequency resolution; high dynamic signal pulling; long coherent integration period; low C-No signal; low residual frequency; low-cost receiver oscillator; low-cost receiver sensor; Doppler effect; Frequency estimation; Global Navigation Satellite Systems; Global Positioning System; Heuristic algorithms; Receivers; Time frequency analysis; GNSS; Kalman filter; pulling; re-acquisition;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Control Engineering (ICECE), 2011 International Conference on
Conference_Location
Yichang
Print_ISBN
978-1-4244-8162-0
Type
conf
DOI
10.1109/ICECENG.2011.6057731
Filename
6057731
Link To Document