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Project Cyclops, A Design... - Department of Earth and Planetary ...

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Comparing this result with (D27) we see that, as in<br />

the incoherent detection case, going to continuous<br />

averaging has reduced the Po 2 term in the denominator<br />

by the factor 2[3.<br />

Similarly,<br />

1 _b 2/202<br />

p(b) - e (D32)<br />

STATISTICS OF THE SQUARE LAW DETECTOR<br />

OUTPUT (CLASSICAL CASE)<br />

So far we have considered only the signal-to-noise<br />

power ratios <strong>of</strong> the square-law detector output. These<br />

are useful in computing the accuracy with which a<br />

received power can be measured; but to determine the<br />

false alarm probability Pfa (<strong>of</strong> detecting a signal when<br />

none is present) or the probability <strong>of</strong> missing a signal<br />

Pms that is actually present, we need to know the actual<br />

statistical distribution functions.<br />

Again we assume a coherent power Pr <strong>and</strong> an<br />

incoherent background power P0. We assume from here<br />

on that the latter is present in only one polarization,<br />

since this is true for the radio case <strong>and</strong> can be true for<br />

the optical case with the use <strong>of</strong> a polarizing filter. Then<br />

the instantaneous power at the detector input is<br />

P = [.4 +a(t)] 2 +b2(t) (D30)<br />

m<br />

where as before Pr = A 2, Po = a2 (t) + b2(t), <strong>and</strong> a(t) <strong>and</strong><br />

b(t) are gaussian variables with zero mean <strong>and</strong> zero cross<br />

correlation. The vector relations between a(t), b(t), their<br />

resultant c(t), the coherent signal amplitude A, <strong>and</strong> the<br />

total signal amplitude s(t) are shown in the Figure D-I.<br />

QUADRATURE $<br />

NOISE<br />

AMPLITUDE<br />

! Pb.<br />

where o2 = a2(t) = b_(t) = Po/2. Since a <strong>and</strong> b are<br />

independent, the joint probability density distribution<br />

for a <strong>and</strong> b is<br />

e-(a 2 + b2)/2o 2<br />

p(a,b) = p(a)p(b) = (D33)<br />

2znl 2<br />

Since a2 + b2 = c2 = A z + s2 - 2sA cos 0, the<br />

probability density function for s is found by integrating<br />

equation (D33) over all 0, that is:<br />

p(s)<br />

-<br />

l<br />

s e<br />

eo<br />

dO<br />

7rPo T.it (A 2 + s2 - 2sA cos 0)<br />

A 2 + s2<br />

2sA<br />

/7' _ COS 0<br />

2s Po 1 _" Po<br />

-<br />

"Do<br />

e --<br />

,r<br />

J0 e dO<br />

A 2 +,5 2<br />

=-- e Io (D34)<br />

eo 2s Po 2(/)<br />

where I0 is the zero order modified Bessel function <strong>of</strong><br />

the first kind. We note in passing that p(s) is the<br />

probability density function for the output <strong>of</strong> a linear<br />

detector <strong>and</strong> that p(s)/27rs is the probability density<br />

versus radius distribution for the Golay detector. (See<br />

Chap. 1 i).<br />

//_<br />

O' A 0<br />

D,.<br />

IN -PHASE<br />

NOISE<br />

AMPLITUDE<br />

If q(P) is the probability density function for the<br />

instantaneous power P, we require that<br />

Figure D-1. Noise <strong>and</strong> signal vectors. P has a two-dimensional<br />

Gaussian distribution about 0, which<br />

makes C have a Rayleigh distribution in amplitude,<br />

<strong>and</strong> S have the distribution given by equation (D34).<br />

q(?) de<br />

= p(s)ds<br />

with dP = 2s ds <strong>and</strong> therefore find<br />

The probability density function for a is<br />

1 e__a2/202<br />

p(a) - (D31)<br />

1 P0<br />

q(P) = Po<br />

--e 1° ---_o /<br />

(D35)<br />

192

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