  Energy detection is a reliable non-coherent signal processing technology of
spectrum sensing of cognitive radio networks, which thanks to its low
complexity, no requirement of priori received information and fast sensing
ability etc. Since the excellent performance of energy detection would be
actually affected by physical multipath fading, this paper is concentrating on
characteristics analysis of energy detection over composite shadowed fading
channels. The small-scale and line-of-sight fading distribution consists of
particular examples such as Rayleigh, Hoyt, Nakagami-m and one sided Gaussian
distributions. Based on this, we derive the probability density function of
signal envelope and signal-to-noise ratio of the composite shadowed fading
channels, which could accurately present the line-of-sight shadowed fading
characterization. Subsequently the exact close-form expressions with infinite
series formulation for the appropriate detection probability have been firstly
extended to estimate detection capacity of the above-mentioned model by
adopting Inverse Gaussian asymptotic distribution. In addition, the absolute
truncation error is deduced for evaluating minimum detection efficiency. The
established model can be also applied in detection estimation with non-integral
fading parameters. Last but not least, the analytical results and
quantification performance are approved by numerically evaluation with
MATHEMATICA and MATLAB as the power variables of dominant components changes.
