Title :
Calculation of channel capacity for M-ary digital modulation signal sets
Author_Institution :
Australian Space Centre for Signal Process., Univ. of South Australia, The Levels, SA
Abstract :
A method for calculating channel capacity for M-ary digital modulation signal sets over an Additive White Gaussian Noise (AWGN) channel is presented. By representing the signal set and noise process as vectors in an N-dimensional signal space, the computation of channel capacity becomes a problem of integration in N dimensions. An attempt to approximate multiple integration is based on Cartesian products of Gauss-Hermite quadrature formulae. This approach allows channel capacity calculation at any value of signal to noise ratio (SNR). The required computing time is small for a small to moderate number of signals and number of dimensions
Keywords :
Gaussian noise; channel capacity; integration; multidimensional systems; white noise; AWGN; Additive White Gaussian Noise; Gauss-Hermite quadrature formulae; M-ary digital modulation signal sets; N-dimensional signal space; channel capacity; computing time; multiple integration; AWGN; Additive white noise; Australia; Channel capacity; Digital modulation; Gaussian noise; Modulation coding; Quadrature amplitude modulation; Signal processing; Signal to noise ratio;
Conference_Titel :
Networks, 1993. International Conference on Information Engineering '93. 'Communications and Networks for the Year 2000', Proceedings of IEEE Singapore International Conference on
Print_ISBN :
0-7803-1445-X
DOI :
10.1109/SICON.1993.515666
