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首页> 外文期刊>Broadcasting, IEEE Transactions on >Fast Fading Channel Estimation by Kalman Filtering and CIR Support Tracking
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Fast Fading Channel Estimation by Kalman Filtering and CIR Support Tracking

机译：卡尔曼滤波和CIR支持跟踪的快速衰落信道估计

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摘要

Structured estimation of channel impulse response (CIR) is considered in orthogonal frequency division multiplexing (OFDM) systems for which the channel exhibits a sparse time-domain response. In particular, fast fading channels encountered in mobile wireless communications are envisaged. Such channels are characterized by time varying frequency selective response. This contribution exploits the much slower variation of propagation time delays, compared to propagation gains, to enhance CIR estimation. To this end, we propose a scheme that disjointly and successively tracks the delay-subspace, by Kalman filtering, then tracks the CIR structure. Contrarily to former subspace based channel response tracking, the channel order is unknown. The channel sparsity in the time-domain is accounted for by incorporating an adaptive CIR support tracking. This adaptive procedure combines the last and current OFDM blocks recovered CIR structures. To fine tune the CIR support, enhanced threshold-based CIR structure detection is applied on the recovered CIR estimate over its detected support. Finally, a structured LS estimation is processed. The proposed scheme outperforms sparsity-unaware Kalman tracking algorithm. It achieves similar performance than the best benchmark which is based on perfect CIR structure knowledge.
机译：在信道表现出稀疏时域响应的正交频分复用（OFDM）系统中，考虑了信道冲激响应（CIR）的结构估计。特别地，设想了在移动无线通信中遇到的快速衰落信道。这种信道的特征在于时变频率选择性响应。与传播增益相比，这种贡献利用了传播时间延迟的慢得多的变化来增强CIR估计。为此，我们提出了一种方案，该方案通过卡尔曼滤波不连续地连续跟踪延迟子空间，然后跟踪CIR结构。与以前的基于子空间的信道响应跟踪相反，信道顺序是未知的。通过合并自适应CIR支持跟踪来解决时域中的信道稀疏性。该自适应过程结合了最后和当前的OFDM块恢复的CIR结构。为了微调CIR支持，将增强的基于阈值的CIR结构检测应用于恢复的CIR估计值，而不是其检测到的支持。最后，处理结构化的LS估计。所提出的方案优于稀疏无知的卡尔曼跟踪算法。与基于完善的CIR结构知识的最佳基准测试相比，它具有类似的性能。

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