Calculating global nearest neighbour (GNN) in Matlab

I have two data matrix. One is original data and another is measured data of radar sensor. I want to find out global nearest neighbor (GNN) of the original data from the measured data. I have already calculated the Local nearest neighbor and posted the m file below. My question is how to change it in to Global nearest neighbor.

Number_of_object = 5;
 Measured_data = f_range_m(1:numSuperpulsesPerCycle_g:length(timeline_ms),:); 
 Original_data = OrgiRange(1:numSuperpulsesPerCycle_g:length(timeline_ms),:);
 Result_Range= nearest_Distance(Original_data,Measured_data, Number_of_object);

m file for the nearest_Distance (Local nearest neighbor) is give below

function [ res ] = nearest_Distance( Original_data, Measured_data, Number_of_object)

      res=nan(size(Original_data,1),Number_of_object);
        for ix = 1:Number_of_object
          %dist = abs(bsxfun(@minus,Measured_data,Original_data(:,ix)));
          dist = abs(bsxfun(@minus,Measured_data,Original_data(:,ix)));
          [~,col] = min(dist,[],2);
          res(:,ix) = diag(Measured_data(:,col));
        end
      end

[Jacobo Levy Abitbol]

Check Munkres algorithm for rectangular matrices in file exchange and apply it to your distance matrix to get the GNN optimal assignment