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A robust parameter estimation of FHSS signals using time-frequency analysis in a non-cooperative environment

机译：在非合作环境中使用时频分析对FHSS信号进行鲁棒参数估计

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摘要

Frequency hopping spread spectrum (FHSS) signals are widely implemented in both modern civilian and military applications. They are robust to channel impairments because of their low probability of interception. For applications that require the interception of FHSS signals, the signal parameters such as the hopping frequencies, hopping duration and hopping sequence should be accurately measured. In this paper, an accurate FHSS signal parameter estimation method is proposed based on quadratic time–frequency distributions (QTFDs). The extended modified B-distribution (EMBD) and the adaptive smoothed Wigner–Ville (SWWVD) are used which have the properties of high time–frequency resolution. The adaptive SWWVD requires no prior knowledge of the signal parameters since the kernel parameters are estimated from the signal characteristics and are compared to the EMBD which operates at the optimal kernel parameters. The proposed instantaneous frequency (IF) estimate method is compared to the time–frequency (TF) moments method and benchmarked with the Cramer–Rao lower bounds (CRLBs). The computational complexity of the IF estimation method is reduced by a factor of five compared to the TF moments method. Furthermore, the results show that the IF estimation method outperforms moments method where the mean-squared error (MSE) of the hopping frequencies estimate meets at minimum SNR of−3dB and the hopping duration estimate MSE meets the CRLB at SNR of 0 dB.
机译：跳频扩频（FHSS）信号广泛应用于现代民用和军事应用。由于它们的拦截概率低，因此它们对于信道损伤很健壮。对于需要截获FHSS信号的应用，应准确测量信号参数，如跳频，跳频持续时间和跳频序列。本文提出了一种基于二次时频分布（QTFDs）的准确的FHSS信号参数估计方法。使用扩展的修正B分布（EMBD）和自适应平滑Wigner-Ville（SWWVD），它们具有高时频分辨率的特性。自适应SWWVD不需要信号参数的先验知识，因为内核参数是根据信号特性估算出来的，并与以最佳内核参数运行的EMBD进行比较。提议的瞬时频率（IF）估计方法与时频（TF）矩方法进行了比较，并以Cramer-Rao下界（CRLB）为基准。与TF矩方法相比，IF估计方法的计算复杂度降低了五倍。此外，结果表明，IF估计方法优于矩量法，后者的跳变频率估计的均方误差（MSE）在最小SNR为-3dB时满足，跳变持续时间估计MSE在SNR为0 dB时满足CRLB。

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  • 来源
    《Physical Communication》 |2018年第2期|9-20|共12页
  • 作者

    Abdulrahman Kanaa; Ahmad Zuri Sha’ameri;

  • 作者单位

    Department of Microelectronic and Computer Engineering, Faculty of Electrical Engineering, Universiti Teknologi Malaysia,RISE, RISE ICT, Acreo, Applied Digitalization;

    Department of Microelectronic and Computer Engineering, Faculty of Electrical Engineering, Universiti Teknologi Malaysia;

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