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中文摘要：
低频谱利用率条件下的信道状态向量具有稀疏性，为降低认知无线电网络中各个认知用户的频谱感知冗余，基于压缩感知技术提出了一种低复杂度的协作频谱感知方法．仿真结果表明，通过稀疏观测矩阵提高了单个认知用户感知过程的速度和效率；在融合中心对观测数据进行重构过程中使用因子图迭代算法，大幅降低了计算难度；同时可以根据认知网络中的频率使用情况，自适应调整认知用户的感知点数，确保整个网络的高效感知．
英文摘要：
The channel state vector is sparse under the conditions of low spectral efficiency. Based on compressed sensing technology, a low complexity collaborative spectrum sensing method is proposed to reduce the redundancy of each user in the cognitive radio networks. The processing speed and the efficiency of the single cognitive node are improved through the sparse measurement matrix. The fusion center reconstructs the observed data by the iterative algorithm of factor graph, dramatically reducing the computation. According to the frequency usage, the cognitive nodes adjust the sampling rate adaptively to ensure the maximum efficiency in the whole networks.
同期刊论文项目
同项目期刊论文
Block Turbo code modulation for MB-OFDM-based cognitive radio to suppress its side-band interference
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