A symbol rate estimation algorithm for autonomous radio in deep space

被引:0
作者
Song, Qingping [1 ]
Liu, Rongke [1 ]
机构
[1] School of Electronic and Information Engineering, Beihang University, Beijing
来源
Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica | 2015年 / 36卷 / 07期
关键词
Autonomous radio; Blind symbol rate estimation; Computational complexity; Deep space communication; Split-symbol moments estimator;
D O I
10.7527/S1000-6893.2014.0288
中图分类号
学科分类号
摘要
The blind symbol rate estimation algorithms for autonomous radio in deep space are presented. In view of the unknown symbol starting point, an improved symbol rate estimation algorithm based on split-symbol moments estimator (SSME) is proposed according to the theoretical analysis of the estimation error. This new algorithm estimates the signal-to-noise ratio (SNR) in different ranges and selects the maximum value, which ensures the symbol rate estimation accuracy. In addition, the computational complexity of the new algorithm is compared with the conventional delay and multiply algorithm, improved delay and multiply algorithm with accumulations. The simulation results show that the proposed algorithm can effectively complete the task of symbol rate estimation at low SNR. Its symbol rate error estimation probability is lower than that of delay and multiply algorithm, and is close to that of delay and multiply algorithm with accumulations. However, the computational complexity of the new algorithm is less than 10% of that of delay and multiply algorithm with accumulations. ©, 2015, AAAS Press of Chinese Society of Aeronautics and Astronautics. All right reserved.
引用
收藏
页码:2301 / 2309
页数:8
相关论文
共 20 条
  • [1] Haskins C.B., DeBoy C.C., Deep-space transceivers-an innovative approach to spacecraft communications, Proceedings of the IEEE, 95, 10, pp. 2009-2018, (2007)
  • [2] Zhang N.T., Li H., Zhang Q.Y., Thought and developing trend in deep space exploration and communication, Journal of Astronautics, 28, 4, pp. 786-793, (2007)
  • [3] Hamkins J., Simon M., Autonomous Software-Defined Radio Receivers for Deep Space Applications, pp. 1-9, (2006)
  • [4] Hamkins J., Simon M., Dolinar S., Et al., An Overview of The Architecture of An Autonomous Radio, IPN Progress Report, (2004)
  • [5] Wang L., Wang Z.G., Xiong W.M., A blind frequency offset estimator for coherent M-PSK system in autonomous radio, Circuits, Systems, and Signal Processing, 32, 3, pp. 1205-1217, (2013)
  • [6] Reed R.E., Wickert M.A., Minimization of detection of symbol-rate spectral lines by delay and multiply receivers, IEEE Transactions on Communications, 36, 1, pp. 118-120, (1988)
  • [7] Reed R.E., Wickert M.A., Symbol-rate detection by a power-series-nonlinear envelope detector receiver, IEEE International Conference on Computers and Communications, pp. 179-183, (1988)
  • [8] Dong Z.Q., Hu H.Y., Yu H.Y., The detection, symbol period and chip width estimation of DSSS signals based on delay-multiply, correlation and spectrum analysis, Journal of Electronics & Information Technology, 30, 4, pp. 840-842, (2008)
  • [9] Chan Y.T., Plews J.W., Ho K.C., Symbol rate estimation by the wavelet transform, IEEE International Symposium on Circuits and Systems, pp. 177-180, (1997)
  • [10] Feng X.Z., Yang J., Luo F.L., Symbol rate estimation of digital signals based on wavelet transform, Journal of System Simulation, 20, 5, pp. 1259-1261, (2008)