MPPSK demodulation method based on location information

Abstract

The invention discloses an MPPSK demodulation method based on location information. A simplified expression of MPPSK modulation is taken as a basis, in the expression, Omega c is taken as angular frequency of modulated carrier, Tc= 2Pi / Omega c is taken as a carrier period, 0<= rg <1 is taken as a symbol protection interval control factor, and a modulation parameter which changes signal bandwidth, transmission efficiency and demodulation performance is composed by the rg, an integer M, an integer N and an integer K. The method based on a shock filter particularly comprises: 1) initially sending multiple MPPSK modulation signals with a symbol '1' so as to be used for transiting positioning and confirmation of initial oscillation and a location original point of the shock filter; 2) after completing positioning of the location original point, calculating a corresponding demodulation symbol of the location information through confirming of the location of the shock; 3) feeding back theoretical location information corresponding to the demodulation symbol, achieving dynamic modulation of the position original point, and finally achieving demodulation of the MPPSK signal. A multi-system M affects little on the performance of the method, and demodulation can be completed without needing a synchronous clock.

Description

technical field [0001] The invention relates to digital communication demodulation technology, which belongs to the technical field of communication system realization, and specifically relates to a multi-position phase shift keying (MPPSK) demodulation method based on position information. Background technique [0002] For the utilization rate of transmission frequency band (expressed in bps / Hz, but strictly speaking, it should be the information rate or "net" code rate after deducting channel coding) and the utilization rate of transmission energy (usually measured by unit transmission power (W) , or equivalently evaluated by receiving signal-to-noise ratio (SNR)) is the basic key technical indicator of any information transmission system, but it is difficult to achieve both. A well-known typical example is that the spread spectrum communication system sacrifices the spectrum utilization and system simplicity in exchange for the improvement of energy utilization and anti-i...

AI Technical Summary

Problems solved by technology

As M increases, a large amount of hardware resources will be consumed for the delay of each bit synchronous clock. What is more serious is that because this method only adjusts the first bit synchronous clock, and then adjusts the first bit synchronous clock Delay is performed to obtain the bit synchronization clocks of other channels. When M increases, the adjustment frequency of the bit synchronization clock in this method decreases, and the adjustment time interval becomes longer, which may cause the bit synchronization to deviate too much before adjustment and cause a judgment error

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