An Improved GOMP Sparse Channel Estimation for Vehicle-to-Vehicle Communications

Table 2

GOMP algorithm pseudocode [21].

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Input: measure matrix , sample vector , channel sparsity , atoms ;

Output: A K-sparse approximation of the input signal;

Initialization: support sets , residual , iterations ;

(1) Calculate , find the values with the largest measurement matrix and residuals by , , and get the candidate ;

(2) Calculate , take the mark corresponding to the largest value into a collection , and calculate residual ;

(3) Determine , if meeting, executive 1, if not meeting, stop iterating and output ; after cycle steps 1–3, it will output sparse approximation, namely

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