Author_Institution :
MIT Lincoln Lab., Lexington, MA, USA
Abstract :
A highly reliable, accurate, and efficient method of calculating the probability of detection, PN(X,Y ), for N incoherently integrated samples, where X is the constant received signal-to-noise ratio of a single pulse and Y is the normalized threshold level, is presented. The useful range of parameters easily exceeds most needs. On a VAX/11 computer with double precision calculations, better than 13-place absolute accuracy is normally achieved. There is a gradual loss of accuracy with increasing parameter values. For example, for N=109, and with both NX and Y near 107, the accuracy can drop to ten places. The function PN(X,Y ) can be equated to the generalized Marcum Q-function, Qm(α,β). The corresponding limits on α and β are roughly 4500 for the 13-place accuracy and 60000 for ultimate (INTEGER×4) limit
Keywords :
probability; signal detection; constant received signal-to-noise ratio; detection probability; generalized Marcum Q-function; incoherently integrated samples; normalized threshold level; signal detection; Error correction; Gaussian noise; Helium; Probability; Random variables; Signal to noise ratio; Virtual manufacturing;