Abstract:We define x = ratio, at the detector input, of the signal power for the ith pulse to the mean receiver noise power.We assume that x.. is of the following form:where L is a positive integer, and u, . are Gaussian random variables with zero mean.(The x^ are also assumed to be statistically independent of the receiver noise.)
87-8Define the random vectors U (1 ), E by
“…The one-off probability of detection can be determined by a universal equation [3] for Swerling target models [21][22][23]; The detection probability of a target by noncoherently integrated pulses is expressed as a function of single-pulse SNR S, false alarm probability P fa , the number of pulses or coherent processing intervals n cpi , and the number of independent Rayleigh-distributed samples n e [20,3]:…”
Section: One-off Probability Of Detection Measure (P D )mentioning
“…The one-off probability of detection can be determined by a universal equation [3] for Swerling target models [21][22][23]; The detection probability of a target by noncoherently integrated pulses is expressed as a function of single-pulse SNR S, false alarm probability P fa , the number of pulses or coherent processing intervals n cpi , and the number of independent Rayleigh-distributed samples n e [20,3]:…”
Section: One-off Probability Of Detection Measure (P D )mentioning
“…The Rayleigh parameter is equal to the standard deviation of n,^ or Uiy, that is, a";, = CT";^ = CTJ, and fni=p{-,Oi), foralH. Using (3.13), (3.14), and the notation Vj = Sj + nj and Vi = |vi| = |si + ni|, an algebraic manipulation similar to that used in the 1-D case allows one to express (3.16) as /V"...,VM(VI,...,VM)=/ d^s/,,...i^(.i,...,SM) n^%J^, (3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17) where The expression (3.21) is the generalization of the well-known result^" that, given two RVs X and y with joint pdf f&y{x, y), the pdf of their sum, z = x + y, is given by /oo fxy{z-w,w) dw . If (3.19) is introduced in (3.21) and the order of integration is changed, the Mdimensional integration in (3.21) will involve only the product of the Rice densities from (3.19), and will represent the convolution of these Rice functions.…”
REPORT DOCUMENTATION PAGEThis report develops the formalism for computing receiver operating characteristic (ROC) curves for an active sonar detector, consisting of linear receiver processing followed by a linear envelope detector. The formalism is applicable to both single-ping and multiple-ping detection. The methodology for computing the ROC curves directly incorporates measurements of target strength as a function of aspect angle to estimate the requisite signal-plus-noise probability density function (pdf) under the assumption of Gaussian background statistics. This "empirical" approach for computing the probability of detection allows ROC curve performance to be estimated for multiple ping integration and for any sensor-target scenario that is supported by the available target data.
“…The function Srect (3) corresponds to the waveform envelope and is normalized so that the energy in the received signal is v 2 . The quantities wo and wd r,.present the RF center frequency and the doppler frequency, respectively, and the function w(t) is white (;aussian noise present in the receiver.…”
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