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Radar System Engineering

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36 THE RADAR EQUATION [SEC.2.10<br />

(Vol. 24, Chap. 8)leads tocertain positive statements. First, therapidity<br />

of the fluctuations is determined by the bandwidth @ of the amplifier.<br />

That is to say, in a time short compared with l/(B, it is extremely unlikely<br />

that the output power will change noticeably. 1 On the other hand,<br />

during a time long compared with l/01, fluctuations will almost certainly<br />

occur, and the value of the power P at the end of such a long time will<br />

bear no systematic relation at all to the value it happened to have at the<br />

beginning. This is a roundabout way of saying that values of P determined<br />

at times differing by much more than 1/6 are statistical y independent,<br />

or, in other words, I/@ is a measure of the correlation time of the<br />

fluctuations.<br />

The second statement which can be made concerns the probability<br />

that at some arbitrarily selected instant the output power will be found<br />

to lie between some specified level, P, and P + dP. This probability,<br />

which we shall label WI(P) dP, is given by<br />

W,(P) dP = #o e-$ dP. (22)<br />

PO is the average power, determined over a long time.<br />

A statement which is easily seen to be equivalent to this is: The probability<br />

that the power exceeds some specified level P, at an arbitrarily<br />

P<br />

selected instant, is just e‘F”. Thus there is always a finite chance of<br />

getting a high noise peak. For example, the probability that at a given<br />

time P is greater than 5Po is e-5 or 0.0068. For the discussion that<br />

follows it is convenient to simplify the problem somewhat by dividing<br />

the time base into discrete intervals each l/CB long. In Fig. 2.6a we<br />

would have 50 such intervals. The essential features of the noise background<br />

can then be described by regarding these intervals as independent<br />

and associating some one value of P with each. Again Eq. (22) correctly<br />

expresses the probability that the power, in an arbitrary interval, will lie<br />

between P and P + dP.<br />

The task of detecting a signal amid the noise in this simplified case<br />

amounts to selecting an interval which displays so large a value of P<br />

that one is justified in betting that the peak was due to a combination of<br />

signal and noise, and not to noise alone. This should dispose of any hope<br />

that we shall be able to define once and for all the minimum detectable<br />

1The intermediatefrequencyitselfis assumedto be high comparedwith (B,so that<br />

it is permissibleto speakof the instantaneouspowerwhileactuallymeaningthe power<br />

averagedover one cycle of the intermediatefrequency.<br />

‘ The intervalsso defined are actually not entirelyindependent,for the output<br />

poweris, after all, a continuousfunction of the time. We areheresubstitutingfor a<br />

continuousrandom processa discreterandom process,which is easierto discuss in<br />

elementaryterms,

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