Cognitive Wireless Networks Based Spectrum Sensing Strategies: A Comparative Analysis

Table 2

Performance comparison of narrow band spectrum sensing models.

Sensing strategy	Approach	Merits	Demerits
Energy detector [19–23]	Sensing	Does not really necessitate understanding of the principal system and is incoherent	Noise- and uncertainty-prone
Matched filter [24–26]	Sensing	Less time needed to achieve high processing gain	Computational complexity depends on the primary network
Feature detection [27–32]	Sensing	Fast sensing as compared to energy detection	Higher accuracy requires a longer length of known sequences that results in lower efficiency of the spectrum
Receiver statistics [33–35]	Monitor	Monitoring during reception	Sensitive to receiver impairments
Energy ratio [36, 37]	Monitor	Insensitive to receiver impalements	May require long monitoring cycle