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

Table 3

iGOMP algorithm pseudocode [22].

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

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

Initialization: support sets , residual , iterations , ;

(1) Calculate based on DICE criteria, find the values with the largest measurement matrix and residuals by , which corresponding column vector with values greater than the threshold is recorded as set ;

(2) Get the candidate , ;

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

(4) Determine , if meeting, executive 5, if not meeting, executive 6;

(5) Determine , if meeting, change the support set , , executive 1

(6) Set , , , , ;

(7) Determine , if meeting, executive 1, if not meeting, stop iterating and output , after cycle steps 1–6, it will output sparse approximation, namely

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