信号检测是认知无线电系统中的一项关键技术.针对一些传统检测方法中的问题,提出了一种对认知无线电信号检测的改进方法.新方法采用基于能量检测的思路进行初判决,然后进一步分析信号相关性特征,通过动态门限实现正确检测.该算法增强了抗噪性能,具有良好的工程实用性.计算机仿真结果表明,改进算法在低信噪比条件下能够达到较高的正确检测概率,相比传统的能量检测算法性能更优.%Signal detection is a key technology in cognitive radio systems. In view of the problems in some traditional detection methods, a modified method for cognitive radio signal detection is proposed. The new method, by using the idea of energy detection for the initial decision, and then by further analyzing the signal correlation features, realizes the correct detection through the dynamic threshold. The algorithm could improve the anti-noise performance and has good engineering practicability. Computer simulation results indicate that the modified algorithm could achieve a higher correct detection probability in low SNR. Comparison with the traditional energy detection algorithm, the proposed algorithm is much better in performance.
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