Energy Efficient Local Spectrum Sensing Algorithm to Detect OFDM based P.U Detection in Cognitive Radios
Cognitive radio is used for improving the radio electromagnetic spectrum. The cognitive radio determines the occupancy of frequency spectrum. Spectrum sensing forms a key front end block to study optimal detection method as Modified Energy Detection (MED) and Equal Gain Detection (EGD). The paper is to ease constraints of bandwidth and utilization techniques of spectral holes in unutilized spectrum used for instantaneous communication by secondary users. This paper is to improve conventional EBSS technique by combining with statistical Principal Component Analysis (PCA).