基于精确噪声估计的迭代频谱感知算法
doi: 10.3724/SP.J.1146.2013.00659
An Iterative Spectrum Sensing Algorithm Based on Accurate Noise Estimation
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摘要: 当干扰系统先验信息全盲时,基于最小错误判断概率门限判决的迭代检测算法可以获得较好的检测性能。然而在实际应用中,低信噪比时很难做到对噪声参量的准确估计,从而导致算法最终收敛门限与最小错误判断概率门限差异较大,检测性能恶化。该文针对上述问题,提出一种改进的迭代检测算法,并通过推理给出了噪声功率、信号功率及信号占用率等参量的迭代估计式。另外,该文还讨论了检测性能指标与信噪比之间的约束关系,给出了要满足一定性能指标所需最低信噪比的闭式解。仿真结果验证了所提算法的有效性。Abstract: Without the priori information of interference system, iterative detection algorithm based on minimum- error-rate threshold can make a good performance. In practice, however, accurate noise estimation is difficult to achieve because of low SNR, which results in a large deviation between the iterative convergence threshold and the minimum-error-rate threshold, and then causes a deterioration in detection performance. To address these issues, an improved iterative detection algorithm is proposed in this paper. Meanwhile, the iterative estimation expression of noise power, signal power and signal occupancy rate are given by detailed derivation. In addition, the constrained relationship between detection performance and SNR is discussed, and the closed-form expression of the minimum SNR is proposed to meet certain performance indicators. The simulation results show the effectiveness of the proposed algorithm.
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Key words:
- Wireless communication /
- Iterative spectrum sensing /
- Low SNR /
- Noise estimation /
- Detection performance
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