Estimation method, system and equipment of transmitted signal and storage medium

Abstract

The invention provides a transmitting signal estimation method, system and device and a storage medium, and the method, system and device are used for an MIMO system, and the estimation method comprises the steps: receiving an external receiving signal; establishing a quantum population; extracting an optimal probability amplitude from the initial probability amplitudes of the quantum chromosomes; updating the initial probability amplitude: obtaining a variation probability amplitude, a mixed probability amplitude and a rotation probability amplitude according to the initial probability amplitude; updating the initial probability amplitude according to the mixed probability amplitude and the rotation probability amplitude, extracting the latest optimal probability amplitude, and adding one to the number of iterations; judging whether the number of iterations reaches an iteration threshold value or not; if yes, obtaining an estimation signal of the transmitted signal according to the latest optimal probability amplitude; if not, continuing to update the initial probability amplitude. According to the method, the probability amplitude of the quantum chromosome is updated by adopting a maximum likelihood detection function algorithm, so the probability amplitude approaches an emission signal and is converged; the problem of high signal estimation complexity is solved, the search frequency is reduced while the performance is ensured, and the signal estimation complexity is reduced.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular to an estimation method, system, equipment and storage medium of a transmitted signal. Background technique [0002] Usually, the transmitting end and the receiving end in a Multiple Input Multiple Output (MIMO) system are equipped with multiple antennas. The use of multiple antennas provides a higher channel capacity and also provides a higher channel capacity for the MIMO system. The estimation of posed challenges; in general, the zero-forcing algorithm (Zero Forcing, ZF) and the minimum mean square error algorithm (minimum mean square error, MMSE) are often used for signal estimation. However, when the ratio of the number of transmitting and receiving antennas is small , the performance of these two algorithms is poor; while the maximum likelihood algorithm (maximum likelihood, ML) has the best performance, but it has high complexity and is not easy to handle. [...

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Problems solved by technology

[0005] In view of the above shortcomings of the prior art, the object of the present invention is to provide a transmission signal estimation method, system, device and storage medium, so as to improve the high complexity and poor detection performance of the transmission signal estimation method in the prior art. And other issues

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