OTFS estimation method, system and device based on compressed sensing algorithm and medium

An OTFS estimation method, system and device based on a compressed sensing algorithm, and a medium, the method comprises the steps: firstly, carrying out the inverse quantization of a calculated correlation vector, obtaining a two-dimensional correlation matrix, calculating a row l2 norm of the obtained matrix, obtaining a row norm vector, selecting the positions of the first L maximum elements in the obtained row norm vector as a time delay index set, and updating an overall support set; calculating a preliminary channel estimation result by using a least square method; then, backtracking the obtained preliminary channel estimation result, carrying out reverse quantization on the preliminary channel estimation result, calculating row and column l2 norms to obtain row norms and column norm vectors, and selecting the positions of the first L maximum elements in the obtained row norm vectors as a time delay index set; determining a maximum Doppler block as a Doppler index set for the column norm vector, and upd