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首页> 外文期刊>IEEE Transactions on Communications >Maximum-likelihood synchronization, equalization, and sequence estimation for unknown time-varying frequency-selective Rician channels
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Maximum-likelihood synchronization, equalization, and sequence estimation for unknown time-varying frequency-selective Rician channels

机译：未知时变频率选择Rician信道的最大似然同步，均衡和序列估计

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This paper develops a receiver structure to perform jointly maximum-likelihood (ML) synchronization, equalization, and detection of a linearly modulated signal transmitted over a time-varying frequency-selective Rician-faded channel, corrupted by additive white Gaussian noise (AWGN). The receiver is particularly suited to a fast-fading channel, where other receivers that rely on estimating the channel cannot track it quickly enough. The signal mean and autocovariance are needed, and a scheme is proposed for estimating these quantities adaptively. The receiver processes the specular and diffuse components (corresponding to the signal mean and autocovariance) separately. Processing the known specular component is the classical detection problem. The unknown diffuse component is processed by predictors. We show that the predictors can achieve synchronization in a novel manner, if synchronization is required. A union bound on the receiver's bit-error rate (BER) is derived, and it tightly bounds simulated BERs in fast-fading at high signal-to-noise ratios (SNRs).
机译：本文开发了一种接收器结构，以联合执行最大似然（ML）同步，均衡和检测在时变频率选择性Rician衰落信道上传输的线性调制信号，该信号被加性高斯白噪声（AWGN）破坏。该接收机特别适合于快速衰落的信道，在该信道上，依赖于估计该信道的其他接收机无法足够快地对其进行跟踪。需要信号均值和自协方差，并提出了一种用于自适应估计这些量的方案。接收器分别处理镜面反射分量和漫反射分量（对应于信号均值和自协方差）。处理已知的镜面反射分量是经典的检测问题。未知的扩散分量由预测变量处理。我们表明，如果需要同步，则预测变量可以新颖的方式实现同​​步。得出了接收器的误码率（BER）的并集，并以高信噪比（SNR）快速衰落时紧密地限制了模拟BER。

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