An impulsiveness correction factor for multiple Middleton Class A sources
Publish date: 2008-06-23
Report number: FOI-R--2515--SE
Pages: 34
Written in: English
Keywords:
- Gaussian approximation
- bit error probability
- BEP
- interference environ-ment
- impulsiveness correction factor
- ICF
- intersystem-interference
Abstract
To prevent crucial degradation of a communication system, it becomes nec-essary to analyze co-location situations of electrical equipment and radio systems. For such analyses, it is essential to have appropriate simplified methods to get computationally tractable expressions for the interference impact. For this, the Gaussian approximation of interfering signals is widely used. However, especially for pulse modulated signals the approximation has been shown not to be valid. For high signal-to-interference ratios the degradation can be several magnitudes or orders larger that the Gaussian approximation suggests. In previous work, a so-called impulsiveness correc-tion factor (ICF) was suggested to be used on the Gaussian approximation. This was demonstrated for binary phase shift keying (BPSK) modulation. This relation has also been investigated for an interfering signal consisting of several pulse modulated AWGN and for an interfering signal mixed with one pulse modulated AWGN and a BPSK modulated signal. For these cases the correction factor was not as good as for the pure case with one pulse modulated AWGN signal. For the work in this report Middleton Class A is studied. The correction factor has been investigated for interference consisted of one or several sig-nal sources (also called mixed interference environment). The ICF showed a strong correlation to used interference model parameters which gives the possibility to adjust for the errors caused by the Gaussian approximation. Furthermore, for multiple interference sources environment a new method has been derived. The method is used to calculate a new ICF based on the case with one dominant interference signal. The conclusion is that the con-cept of ICF is applicable for a large variety of interfering signals.