Multisystem compatible receiver frequency point selecting method

Abstract

The invention discloses a multisystem compatible receiver frequency point selecting method which comprises the following steps: firstly, defining a parameter value, coding and establishing an initial frequency point set, then acquiring the fitness of each frequency point, judging whether a termination condition is met, and finally outputting a global optimal result. The invention has low requirements on the problem property and high computing efficiency, can solve a complicated optimization problem at limited cost, is suitable for a condition with large computing amount, has better global search performance, enables the process of solving the problem to be conveniently parallelized, and improves the processing efficiency. The invention can be used in the field of satellite navigation and communication, especially is suitable for the design of a satellite navigation multisystem compatible receiver, and has good application prospects in the aspects of military and civil use.

Description

technical field [0001] The invention belongs to the field of satellite navigation communication, and in particular relates to a frequency point selection method of a multi-system compatible receiver. Background technique [0002] At present, all global navigation satellite positioning systems in the world are in the stage of development or updating, relying only on a single global navigation satellite positioning system to achieve timing and positioning, no matter from the strategic level of national security or from the technical aspects of system reliability Considering all aspects, there are great potential safety hazards; therefore, multi-system compatibility has gradually become an effective means to reduce risks and improve system reliability and the development trend of the international global navigation satellite positioning industry. [0003] For multi-system compatible receivers, there are a large number of frequency points involved. If the frequency point selecti...

AI Technical Summary

Problems solved by technology

The random method is to randomly select a certain number of points in the problem space and then choose the best from them. It has a certain degree of blindness. For complex problems, the quality of the solution cannot be guaranteed, and the optimal result of the problem cannot be guaranteed.

The exhaustive method is a traversal search method of the solution space. Although the global optimal solution of the problem can be found, the computational efficiency is too low, and it is not suitable for optimization problems with a large amount of calculation.

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