系统工程与电子技术

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GMSK+PN信号信噪比估计

石立国1,2, 王竹刚1,熊蔚明1   

  1. 1. 中国科学院空间科学与应用研究中心, 北京 100190;
    2. 中国科学院大学, 北京 100190
  • 出版日期:2016-01-12 发布日期:2010-01-03

SNR estimation algorithm for GMSK+PN signal

SHI Li-guo1,2, WANG Zhu-gang1, XIONG Wei-ming1   

  1. 1. Center for Space Science and Applied Research,Chinese Academy of Sciences, Beijing 100190, China;
    2. University of Chinese Academy of Sciences, Beijing 100190, China
  • Online:2016-01-12 Published:2010-01-03

摘要:

针对数传、测距一体化的调制方式高斯最小频移键控复合伪码测距(Gaussian minimum shift keying+pseudo-noise, GMSK+PN)信号的信噪比估计,提出了一种精度较高、复杂度较低的快速算法。该算法采用层状结构分解的方式,将信号分解为若干信号单元,对每一个分解的信号单元进行功率分配计算或信噪比估计,最后快速准确地计算出整个信号的信噪比。信噪比在 1~13 dB之间时,估计误差小于0.5 dB。利用Simulink仿真工具,验证了该算法的有效性。

Abstract:

Gaussian minimum shift keying+pseudo-noise (GMSK+PN) is a modulation method which achieves simultaneously transmission of GMSK data and PN. For the signal to noise ratio (SNR) estimation of GMSK+PN modulation, a fast algorithm with high accuracy and low complexity is proposed. This algorithm applies layered structure decomposition to decompose signals into a number of units. Each decomposed signal’s power is calculated or SNR is estimated. Then, signal power distribution calculation or SNR estimation is conducted successively for according units. Finally, SNR of the entire signal is calculated quickly and accurately. Estimation error is less than 0.5 dB when SNR is between 1~13 dB. Simulink simulation results verify the effectiveness of the proposed algorithm.