Performance criteria of optimal sensing algorithm for time-varying spectrum

Abstract

The requirement of real-time processing indeed poses challenges on implementing spectrum sensing algorithms, especially for time-varying spectrum environments. The time-varying feature of the spectrum for wireless communication countermeasure system is analyzed. And the mathematical model of the time-varying spectrum is proposed. With the help of adaptive filtering theory, the performance criteria of optimal spectrum sensing algorithm is proposed, in which the total error was composed by sensing error and lag error. The objective of the real-time spectrum sensing algorithm is to minimize the summation of sensing error and lag error. Finally, the proposed performance criterion was used to guide the channel estimation of intelligent frequency hopping communication system.