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This article presents results of the evaluation of the energy detection technique that can be used for the implementation of cognitive radio DSA (Dynamic Spectrum Allocation). The experimental data consists of received signal measurements at geo-positioned points different routes in a urban area, when OFDM signals are transmitted in 3.5 MHz channels with the central frequency of 3,44 GHz. The results are the evaluation of the detection error and the possibility of secondary use of the spectrum along the measurement routes.

This paper presents an evaluation of multicarrier channel sounding techniques using different random and pseudorandom sequences to modulate the OFDM sounding signal. The Random (Rand), Pseudo-Noise (PN) and Zadoff-Chu (ZC) were tested, both in laboratory simulations and in field measurements. For the laboratory simulations Matlab routines were used to generate OFDM signals modulated with each of the three sounding signals, that were then convoluted with a synthesized transfer function of a test channel with six multipath components and added Gaussian noise and Doppler fading. The resulting signals are then correlated with a copy of the original signal to provide the multipath power delay profiles. The root mean square deviation (RMSD) and the relationship between peak power and mean power (PAPR) were used as metrics for the comparison between the test transfer function and the simulation detected multipath delay profiles, showing slight advantages of the ZC sequence. The three sequences were then used in field measurements to characterize an urban channel at 700 MHz. In the field measurements, the ZC sequence showed the lowest detection threshold, allowing for the detection of a larger number of multipath components.