Immunity of the Data Transmission Channel with FHSS when Soft Decoding by Means of Spectral Density Estimation of Interference Power

Abstract

The characteristics of noise immunity of a coherent data transmission channel with Frequency Hopping Spread Spectrum (FHSS), orthogonal signals and Reed-Solomon code with its soft decoding have been obtained using spectral density estimation of interference power, which is a combination of two Gaussian noise interference, they are barrage jamming and one concentrated in the FHSS band part. It is found that when the volume of an orthogonal signals ensemble increases, noise immunity rises due to the accuracy growth of the spectral density estimation of the interference power, which in turn provides an accuracy growth of posterior probability estimation used for soft-decision decoding