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(ii) We are given that the probability of error for matched filter detection of a binary polar NRZ signal in additive white Gaussian noise (AWGN)
(ii) We are given that the probability of error for matched filter detection of a binary polar NRZ signal in additive white Gaussian noise (AWGN) can be expressed as 2E, No where E, denotes the received signal energy per bit in Joules, and No denotes the noise power spectral density in Watts/Hz. Here the data consists of equiprobable ones and zeros In a communication system, a binary polar NRZ signal is transmitted along a cable which attenuates the signal by 0.7dB/km. The transmitted power is 30 Watts, and the noise at the input to the receiver is assumed to be additive white Gaussian, with power spectral density N 10 Watts/Hz. The data rate of the system is 500 kbits/second. A matched filter is used to detect the pulses at the receiver. Calculate the maximum separation in km between the transmitter and receiver if the output bit error rate is to be at most P -5x10 50% (ii) We are given that the probability of error for matched filter detection of a binary polar NRZ signal in additive white Gaussian noise (AWGN) can be expressed as 2E, No where E, denotes the received signal energy per bit in Joules, and No denotes the noise power spectral density in Watts/Hz. Here the data consists of equiprobable ones and zeros In a communication system, a binary polar NRZ signal is transmitted along a cable which attenuates the signal by 0.7dB/km. The transmitted power is 30 Watts, and the noise at the input to the receiver is assumed to be additive white Gaussian, with power spectral density N 10 Watts/Hz. The data rate of the system is 500 kbits/second. A matched filter is used to detect the pulses at the receiver. Calculate the maximum separation in km between the transmitter and receiver if the output bit error rate is to be at most P -5x10 50%
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