INVARIANT SIGNALING WITH PROCESSING IN THE FREQUENCY AREA

Abstract

A method of sending signals to the subsequent processing in the frequency domain is offered. To implement such a treatment, a structure is proposed based on the direct and inverse Fourier transformation with an element of division, making the division of information signals and training signals possible.

Full Text

The author [1] suggested a relative amplitude modulation (RAM). Its essence lies in the fact that the previous assumption is core to the next, and their attitudes at the reception, despite the impact of multiplicative noise with the channel transmission coefficient K, equal to the ratio of these parcels for transfer. The RAM can significantly reduce the influence of multiplicative noise. However, the influence of additive noise has not been eliminated. The author of this work used the idea of the RAM, but bearing messaging of equal size allocated in the same sequence of training signals as their subsequent averaging to reduce the impact of additive noise. Information signals of various amplitudes are identified in the information sequence. The relation of the information sequence signals to value of the average training signals also reduces the influence of a multiplicate hindrance. This method of signal formation on transfer and their demodulation on the reception party allows improving the noise stability of the offered structure at least by two orders in comparison with the classical RАМ systems. The given work is devoted to the synthesis of the processing of the information algorithm by the invariant system of information transfer in frequency areas; and to the analysis of the received technical characteristics. We have an analogue communication channel with a pass-band from fmin to fmax on which there is transferred peak-modulated rectangular bending around the signals. The sequence of information part signals with those of the training part is united into blocks. Transferred signals are treated to actions of hindrances: a multiplicate, described by the change of a channel broadcast of communication factor k(t) at certain frequencies; and additive, representing white noise with no correlated readout and a dispersion σ2 (while modelling the dispersion accepts a value equal to 1). Besides this, the accepted signal is influenced by peakfrequency and fazo-frequency distortions of the communication channel. Let’s consider that the communication channel is subject to a smooth general fading and consequently, it is possible to allocate the interval’s stationary channel properties. Particularly, to allocate intervals at which the factor of a channel broadcast of communication is constant, and the amplitude of the readout AFC is constant (does not vary).