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This letter presents an improvement technique for a false alarm probability in simple weighted diversity combining for cyclostationarity detection based spectrum sensing. Although traditional simple weighting techniques can improve a performance of the spectrum sensing, the technique causes an error of false alarm probability between an obtained and designed value. The reason is that the technique requires two types of statistics and both probability density function (PDF) are different. The presented weighting technique makes these PDF matches and the degradation of the signal detection performance for the presented can be ignored. Simple theoretical analysis and numerical examples are shown to validate the effectiveness of the presented.

Improvement of false alarm probability in simple weighted diversity combining for cyclostationarity detection based spectrum sensing