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Spectrum sensing technology is a crucial aspect of modern communicationtechnology, serving as one of the essential techniques for efficientlyutilizing scarce information resources in tight frequency bands. This paperfirst introduces three common logical circuit decision criteria in harddecisions and analyzes their decision rigor. Building upon hard decisions, thepaper further introduces a method for multi-user spectrum sensing based on softdecisions. Then the paper simulates the false alarm probability and detectionprobability curves corresponding to the three criteria. The simulated resultsof multi-user collaborative sensing indicate that the simulation processsignificantly reduces false alarm probability and enhances detectionprobability. This approach effectively detects spectrum resources unoccupiedduring idle periods, leveraging the concept of time-division multiplexing andrationalizing the redistribution of information resources. The entirecomputation process relies on the calculation principles of power spectraldensity in communication theory, involving threshold decision detection fornoise power and the sum of noise and signal power. It provides a secondarydecision detection, reflecting the perceptual decision performance of logicaldetection methods with relative accuracy.

Joint Detection Algorithm for Multiple Cognitive Users in Spectrum Sensing