Due to the large impulse noise interference in Laplace noise environment

the performance of spectrum detection is reduced.In order to solve the issue

a robust spectrum sensing algorithm based on exponential absolute value cumulating is proposed.Firstly

it manages the received signal with the exponential absolute value cumulating.This method can compress the impulse noise.It cumulates the signal as the decision statistics.And it can obtain the probability density function of the decision statistics using the central limit theorem and get the threshold.Then it judges whether primary user is using the spectrum.Theoretical analysis and simulation results show that under the same false alarm probability or different signal-to-noise ratio

the detection probability of the proposed algorithm is higher than the detection probability of the absolute value cumulating algorithm and the detection probability of the energy detection with Laplace noise algorithm and the detection probability of the modified absolute value cumulating algorithm.