Recursive Compressed Sensing of Doubly-selective Sky-Wave Channel in Shortwave OFDM Systems

Wang Kai, Ren Zhenge, Zhang Jianxin, Chen Jing
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Abstract

For shortwave OFDM systems under sky-wave doubly-selective channel conditions, the multi-path delay can be almost constant in several continuous OFDM symbols, while the path gain can be changed significantly along with the change of OFDM symbols. Based on the temporal-correlation properties of such a channel, we propose a recursive compressed sensing (CS) method of sky-wave channels with double selectivity in delayed Doppler domain. The recursive ideas is introduced into CS based double-selective channel estimation and the performance of channel estimation in the current OFDM symbol is improved by using the estimation results from the previous OFDM symbol as prior information. Simulation results show that the proposed recursive CS algorithm can take full advantage of the temporal correlation structure of channel sparsity, which result in the significantly reducing the pilot overhead.
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短波OFDM系统中双选择天波信道的递归压缩感知
对于天波双选择信道条件下的短波OFDM系统,在几个连续的OFDM符号中,多径延迟几乎是恒定的,而路径增益可以随着OFDM符号的变化而发生显著变化。基于天波信道的时间相关特性,提出了一种延迟多普勒域双选择性天波信道的递推压缩感知方法。将递归思想引入到基于CS的双选择信道估计中,利用前一OFDM码元的估计结果作为先验信息,提高了当前OFDM码元下信道估计的性能。仿真结果表明,所提出的递归CS算法能够充分利用信道稀疏性的时间相关结构,显著降低导频开销。
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