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Design of power spectrum density monitoring system using optimal sliding exponential window technique

Under the restriction of the frequency usage license, there are limited radio frequency ranges that can be used. However, the cost and equipments for monitoring and detecting the violation of licensed frequency bands can be expensive and complicated. Therefore, this paper proposes the design of Power Spectral Monitoring System for monitoring and detecting the signal whose frequency exceeds the allowable range. The main focus for the design is to introduce the efficient power spectrum density computation. To achieve that, we apply sliding DFT computation method which is faster than calculating entire FFT or DFT. Also, we included exponential window, and compared the results between the two sliding DFT methods. The proposed Power Spectral Monitoring System has many advantages over the traditional system based on the usage of spectrum analyzer. This includes a lower cost in determining and detecting excess frequency ranges. In addition, the system uses software implementation which is relatively cheaper and easier to reconfigure than hardware counterpart. The proposed system is also faster in term of processing speed because it uses modified and enhanced algorithms to shorten the detection process.