Find the approximate probability of error for an ASK signal with equi-probable binary symbols, if the average signal SNR is 10 dB, the signal detection uses an envelope detection technique at passband for two threshold detection cases, with a threshold detector having a thresholds of ~1.2 volts (case 1),~2.2 volts (case 2). The standard deviation of the corrupting Gaussian noise is 1. Use Marcum's Q function to create your solution and label a binary transition probability channel model to illustrate your solution results. Draw a bifurcated pdf representation showing the 2.2 volt threshold and the integrated probability areas for your calculations.

Question

Paul Mcpherson

English

14 June, 13:52

Find the approximate probability of error for an ASK signal with equi-probable binary symbols, if the average signal SNR is 10 dB, the signal detection uses an envelope detection technique at passband for two threshold detection cases, with a threshold detector having a thresholds of ~1.2 volts (case 1),~2.2 volts (case 2). The standard deviation of the corrupting Gaussian noise is 1. Use Marcum's Q function to create your solution and label a binary transition probability channel model to illustrate your solution results. Draw a bifurcated pdf representation showing the 2.2 volt threshold and the integrated probability areas for your calculations.

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Rylan Hall · Answer 1

Using equation

Px|y (i|v) = py|x (v|i) · px (i)

py (v)

Pc = 1 - Pe = 1 - P{mˆ 6 = m} = P{mˆ = m}

the above will become

Pe, ML =

M

X-1

i=0

px (i) · Pe, ML/i

= Pe, ML/i

Pr will be 0.8945