Autoregressive

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C#

The autoregressive model captures the autocorrelation between the sample signals from the same access point. Using this model to calculate the distribution of the average of n correlated samples. This is done in a WiFi location system. Please make corrections to the code below. I'm a newbie and would really appreciated your assistance.

Thanks!

static void Calculate_P(int x,int y)
        {
            double a, b = 0, c = 0;
            double h = 0;
            //calculate each location for each AP
            for(int i = 0; i <= 1; i++)
            {
                for(int j = 0; j <= 3; j++)
                {
                    for(int k = 0; k <= 3; k++)
                    {
                        h += GlobalVariable.Str[i, j, k];
                    }
                    h /= 4;
                    GlobalVariable.aves[i, j] = h;
                }
            }
            for(int i = 0; i <= 1; i++)
            {
                for(int j = 0; j <= 3; j++)
                {
                    for(int k = 0; k <= 2; k++)
                    {
                        b += (GlobalVariable.Str[i, j, k] - GlobalVariable.aves[i, j]) * (GlobalVariable.Str[i, j, k + 1 ] - GlobalVariable.aves[i, j]);
                    }
                    for(int k = 0; k <= 3; k++)
                    {
                        c += (GlobalVariable.Str[i, j, k] - GlobalVariable.aves[i, j]) * (GlobalVariable.Str[i, j, k] - GlobalVariable.aves[i, j]);
                    }
                    a = b / c;
                    Console.WriteLine("location{0}，AP{1}
Autocorrelation coefficient：{2} ", i + 1, j + 1, a);
                }
            }
        }