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首页> 外文期刊>Wireless Personal Communications >Diversity Combining and SNR Estimation for Turbo-Coded Frequency-Hopped Spread-Spectrum in Partial-Band Interference and Fading Channels
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Diversity Combining and SNR Estimation for Turbo-Coded Frequency-Hopped Spread-Spectrum in Partial-Band Interference and Fading Channels

机译:在部分频带干扰和衰落信道中Turbo编码的跳频扩频频谱的分集组合和SNR估计

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摘要

We compare different combinations of the repetition diversity order L and code rate R for turbo-coded Frequency-Hopped Spread-Spectrum (FH/SS) communication systems in the presence of fading and partial-band Gaussian interference. For a fixed overall channel code rate R/L we show that using the lowest code rate and no repetition diversity always performs better than using a higher code rate and some repetition for both coherent and non-coherent schemes. We then propose a simple maximum-likelihood-based method for signal-to-noise-ratio (SNR) estimation in Non-Coherent Binary Frequency Shift Keying (NCBFSK) without training symbols. Except for impractically small hop sizes of 8 bits or less we obtain performance virtually equal to that of perfect SNR knowledge but with much less complexity than iterative schemes previously proposed. For the case of Coherent Binary Phase Shift Keying (CBPSK) we derive the Expectation Maximization (EM) estimate of the SNR without training symbols and iteratively feed the estimator with the extrinsic information from the turbo decoder. The performance for CBPSK is near that of perfect SNR knowledge for hop sizes of 64 bits or more. Unlike previously proposed methods for CBPSK the EM estimate of SNR does not require knowledge of the noise and interference variance, received bit energy, or the fading channel model.
机译:我们比较了在存在衰落和部分频带高斯干扰的情况下,Turbo编码的跳频扩频(FH / SS)通信系统的重复分集阶数L和码率R的不同组合。对于固定的总体信道编码率R / L,我们表明使用最低的编码率和没有重复分集总是比使用较高的编码率和相干和非相干方案的某些重复表现更好。然后,我们提出了一种简单的基于最大似然性的非相干二进制频移键控(NCBFSK)中无训练符号的信噪比(SNR)估计方法。除了8位或更小的不切实际的小跳变大小,我们获得的性能几乎等于完美的SNR知识,但其复杂度比以前提出的迭代方案小得多。对于相干二进制相移键控(CBPSK),我们无需训练符号就可以得出SNR的期望最大化(EM)估计,并以迭代方式从Turbo解码器向估计器提供外部信息。对于64位或更大的跃点大小,CBPSK的性能接近完美的SNR知识。与先前提出的CBPSK方法不同,SNR的EM估计不需要了解噪声和干扰方差,接收到的比特能量或衰落信道模型。

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