The general definition of a matched filter is a filter that maximizes peak signal-to-rms noise at some
Question:
(a) Assuming white noise at the input, use Schwarzs inequality to show that the frequency response function of the matched filter is
Hm(f) = S*(f) exp(-j2Ïft0)
where S(f) = i[s(t)] and s(t) is the signal to which the filter is matched.
(b) Show that the impulse response for the matched-filter frequency response function found in part (a) is
hm(t) = s(t0 - t)
(c) If s(t) is not zero t > t0, the matched-filter impulse response is nonzero for t < 0; that is, the filter is non-causal and cannot be physically realized because it responds before the signal is applied. If we want a realizable filter, we use Find the realizable matched-filter impulse response corresponding to the signal
s(t) = AII[(t - T/2)/T]
and t0 equal to 0, T/2, T, and 2T.
(d) Find the peak output signal for all cases in part (c). Plot them versus t0. What do you conclude about the relation between t0 and the causality condition?
Step by Step Answer:
Principles of Communications Systems, Modulation and Noise
ISBN: 978-8126556793
7th edition
Authors: Rodger E. Ziemer, William H. Tranter