A Reconstruction Method of Timing Offset Estimation Metric

Abstract

The invention discloses a reconstruction method of a timing offset estimation measure under compressed sampling. The reconstruction method comprises (a) optimizing a measurement matrix of compressed sampling according to the blocking characteristic of the timing offset estimation measure, (b) performing compressed sampling by use of the optimized measurement matrix, (c) reconstructing the timing offset estimation measure according to the compressed sampling in combination with the blocking characteristic of the timing offset estimation measure, and (d) estimating the timing offset by use of the reconstructed timing offset estimation measure. According to the reconstruction method of the timing offset estimation measure under compressed sampling, the reconstruction accuracy of the timing offset estimation measure under the compressed sampling can be effectively improved, and then the estimation accuracy of timing offset estimation under the compressed sampling can be improved.

Description

technical field [0001] The present invention relates to the reconstruction technology of the timing offset estimation metric after compressed sampling in the communication system, in particular to a method of exploiting the "blocking" characteristic of the timing offset estimation metric to reconstruct the timing offset estimation metric, thereby improving the reconstruction accuracy Methods. Background technique [0002] In communication systems, imprecise time synchronization will cause severe degradation of system performance such as bit error rate, system capacity, and outage probability. In order to reduce the impact of imprecise time synchronization on communication system performance, accurate estimation of timing offset is required. [0003] When performing timing offset estimation, the timing metric used to estimate the timing offset is called "timing offset estimation metric". Estimating the timing offset by using the training sequence is a commonly used estimati...

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Problems solved by technology

However, the existing reconstruction methods, such as matching pursuit algorithm, orthogonal matching pursuit algorithm, compressed sampling matching pursuit algorithm, basis tracking algorithm, subspace tracking algorithm, etc., are not specifically designed for the reconstruction of timing offset estimation metrics. proposed, and none of them considered and exploited the characteristics of the timing offset estimation metric, and the correct reconstruction performance of the timing offset estimation metric obtained by reconstruction is limited

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