Cognitive radio (CR) is an innovative technology with profound potential for reducing the spectrum shortage within wireless networks of the next decade. Unlicensed users are able in this technology to reach unused parts of the spectrum, commonly known as white spaces, which increase their use of the spectrum. Each of the unauthorised user nodes needs a spectrum sensor to detect white space to transmit and receive data. In this paper, a Cyclostationary Spectrum Sensor (CFD), for CR skill is available that uses less hardware and less time to sens. The obstacle of designing innovative CFD spectrum sensing algorithms based on frequencies was addressed. In particular, a multi-level resource has been provided for optimization with the VLSI 2048-point FFT module. In regards, outcomes of projected spectrum sensor production analyses are provided for 1024, 2048 and 40.096 FFT size and shape where appropriate detection-probability of 0.9 is offered in the proposed design at -5 dB SNR. It was implanted by FPGA and demonstrates that the hardware usage was improved due to a 100% lowered memory necessity, and that a shortened sensing period of 0.3 ms was indexed.