A new approach for spectrum sensing in wideband

A new algorithm of the spectrum sensing is proposed in this paper. The spectrum sensing methods presented in this paper are optimised to implement these in FPGA based embedded systems. The low power and highly parallelised architecture of FPGA requires low complexity in implementation of separate processing units - spectrum sensors (SpS). The widely used detection methods, based on analysis of signal spectrum energy and standard deviation are integrated in proposed spectrum analysis algorithm for cognitive radio spectrum sensing applications. The experimental investigation of proposed algorithm is performed in simulated and real RF environments. It is showed that proposed algorithm increase the spectrum sensing efficiency and minimise the miss-detection of licensed users to 12 % using only the energy detector in proposed algorithm and 5% additionally adding the standard deviation based spectrum sensing. Three channel verification techniques with proposed spectrum sensors were tested during our investigation. The Forward Consecutive Mean Excision (FCME) based technique showed the highest accuracy in channel verification task.