Journal of Systems Engineering and Electronics ›› 2021, Vol. 32 ›› Issue (4): 831-840.doi: 10.23919/JSEE.2021.000072

• ELECTRONICS TECHNOLOGY • Previous Articles     Next Articles

Two-step compressed acquisition method for Doppler frequency and Doppler rate estimation in high-dynamic and weak signal environments

Chao WU1,2,*(), Erxiao LIU1(), Zhihua JIAN1()   

  1. 1 School of Communication Engineering, Hangzhou Dianzi University, Hangzhou 310018, China
    2 School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710082, China
  • Received:2020-06-09 Online:2021-08-18 Published:2021-09-30
  • Contact: Chao WU E-mail:wuchao@126.com;liuerxiao@hdu.edu.cn;jianzh@hdu.edu.cn
  • About author:|WU Chao was born in 1988. He obtained his Ph.D. degree from Xidian University, China in 2016. Now he works in Hangzhou Dianzi University. His research interests include GNSS signal acquisition and tracking. E-mail: wuchao@126.com||LIU Erxiao was born in 1984. He obtained his Ph.D. degree from Xidian University, China in 2013. Now he works in Hangzhou Dianzi University. His research interest is navigation signal processing. E-mail: liuerxiao@hdu.edu.cn||JIAN Zhihua was born in 1978. He obtained his Ph.D. degree from Nanjing University of Posts and Telecommunications, China in 2008. Now he works in Hangzhou Dianzi University. His research interests include signal detection and tracking. E-mail: jianzh@hdu.edu.cn
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (61901154; 41704154), and Zhejiang Province Science Foundation for Youths (LQ19F010006)

Abstract:

To acquire global navigation satellite system (GNSS) signals means four-dimension acquisition of bit transition, Doppler frequency, Doppler rate, and code phase in high-dynamic and weak signal environments, which needs a high computational cost. To reduce the computations, this paper proposes a two-step compressed acquisition method (TCAM) for the post-correlation signal parameters estimation. Compared with the fast Fourier transform (FFT) based methods, TCAM uses fewer frequency search points. In this way, the proposed method reduces complex multiplications, and uses real multiplications instead of improving the accuracy of the Doppler frequency and the Doppler rate. Furthermore, the differential process between two adjacent milliseconds is used for avoiding the impact of bit transition and the Doppler frequency on the integration peak. The results demonstrate that due to the reduction of complex multiplications, the computational cost of TCAM is lower than that of the FFT based method under the same signal to noise ratio (SNR).

Key words: high-dynamic and weak signal environment, compressed acquisition, frequency parameters estimation