Non-line-of-sight identification method and device based on subset signed residual test, and medium
The invention discloses a non-line-of-sight identification method and device based on subset signed residual detection and a medium. The method comprises the steps of grouping positioning measurement data, performing intermediate estimation on the grouped data, calculating a complete initial subset...
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Main Authors | , , , , |
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Format | Patent |
Language | Chinese English |
Published |
29.09.2023
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Subjects | |
Online Access | Get full text |
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Summary: | The invention discloses a non-line-of-sight identification method and device based on subset signed residual detection and a medium. The method comprises the steps of grouping positioning measurement data, performing intermediate estimation on the grouped data, calculating a complete initial subset signed residual matrix by using an intermediate estimation value, detecting non-line-of-sight candidate hypotheses based on the initial subset signed residual matrix, and determining a final non-line-of-sight base station combination from the candidate hypotheses. According to the method, the influence of front-end estimation on a residual value can be effectively reduced by utilizing a subset with a symbol residual (residual) matrix, and the identification accuracy of an existing algorithm is improved; according to the ML test provided by the invention, the selection process and criterion under the condition of a plurality of candidate hypotheses are unified, selection can be carried out according to the maximum l |
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Bibliography: | Application Number: CN202211301395 |