A method, device, equipment and medium for estimating OTFS channel sparsity of a ruin rescue robot
By constructing a weighted mask matrix using an inertial measurement unit in a rubble rescue robot for channel sparsity estimation, the problems of high computational complexity, weak anti-interference capability, and low spectral efficiency in existing technologies are solved, and real-time and efficient channel estimation is achieved.
CN122372383APending Publication Date: 2026-07-10CHENGDU TECH UNIV
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHENGDU TECH UNIV
- Filing Date
- 2026-04-20
- Publication Date
- 2026-07-10
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Figure CN122372383A_ABST
Abstract
This invention relates to the fields of wireless communication technology and special robot technology, specifically to an OTFS channel sparse estimation method, apparatus, device, and medium for a rubble rescue robot. By acquiring the instantaneous acceleration along the antenna beam direction collected in real time by the robot's inertial measurement unit and the preset OTFS delay-Doppler grid dimension, a weighted mask matrix is constructed. Based on the weighted mask matrix, the observation vector extracted from the pilot symbols, and the observation matrix pre-generated according to the OTFS modulation parameters, the inner product magnitude of each column vector of the observation matrix and the current residual in each iteration is weighted and corrected using the weight values corresponding to each column vector of the observation matrix in the weighted mask matrix, resulting in a weighted correlation index. Column vectors are selected based on the correlation index, and the support set and residual are updated until the convergence condition is met, yielding the channel estimation result. This method resolves the contradiction between the limited computing resources of the rescue robot and the high complexity of the channel estimation algorithm.
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