Wideband Sequential Spectrum Sensing with Varying Thresholds

In this contribution, time varying threshold sequential detectors are employed for energy detection-based spectrum sensing in low- SNR regimes. Sequential detection is proven to be faster (on average) than any other multi-sample detector for a set of given probabilities of detection and false-alarm. In this report, exact performance of a sequential detector for spectrum sensing is analyzed using the direct method. The theoretical results presented herein are verified with Monte-Carlo simulations. It is shown that for a SNR of -10dB, among tests with Wald and triangular thresholds with similar probabilities of mis-detection and false- alarm, triangular performs 54% faster in terms of maximum detection time (90 percentile).