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One oversimplified method to look for a valid signal in a frequency band is to first compute the FFT of the signal in the desired frequency band and then ascertain if any point in FFT is crossing a detection threshold. This can be achieved by computing the ratio of the maximum of the FFT output to that of the sample mean value. There are host of other applications that use detection procedure which is very similar to this max-mean ratio test. My task is to find a closed form

So this is the first time I got into a “cart before the horse” situation with regarding to writing technical papers. I have collected extensive data regarding wireless signal strength variation in an indoor environment and I have figured out a method to track a transmitter’s position using Bhattacharyya coefficient. You can see a quick demo of this technique in action here. However, I am unable to figure out the math behind it. Essentially, my method measures signal strength

Recently I came across this method commonly applied in financial statistics for computing joint distributions from marginal distributions and a dependency metric. A recent paper that I submitted to Globecom tries to leverage this technique to create a cost function for localizing a wireless transmitter by measuring its signal strength by multiple wireless receivers placed at known locations in an indoor environment. Signal strength measured by receivers without processing is