Bpsk Error Probability
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In this post, we will derive the theoretical equation for bit error rate (BER) with Binary Phase Shift Keying (BPSK) modulation scheme in Additive White Gaussian Noise (AWGN) channel. The BER probability of error in qpsk results obtained using Matlab/Octave simulation scripts show good agreement with the derived theoretical results.
Bpsk Probability Of Error In Awgn
With Binary Phase Shift Keying (BPSK), the binary digits 1 and 0 maybe represented by the analog levels and respectively. The bpsk probability of error derivation system model is as shown in the Figure below. Figure: Simplified block diagram with BPSK transmitter-receiver Channel Model The transmitted waveform gets corrupted by noise , typically referred to as Additive White Gaussian Noise
Probability Of Error In Dpsk
(AWGN). Additive : As the noise gets ‘added' (and not multiplied) to the received signal White : The spectrum of the noise if flat for all frequencies. Gaussian : The values of the noise follows the Gaussian probability distribution function, with and . Computing the probability of error Using the derivation provided in Section 5.2.1 of [COMM-PROAKIS] as reference: The received signal, when bit 1 is transmitted and when bit bpsk modulation 0 is transmitted. The conditional probability distribution function (PDF) of for the two cases are: . Figure: Conditional probability density function with BPSK modulation Assuming that and are equally probable i.e. , the threshold 0 forms the optimal decision boundary. if the received signal is is greater than 0, then the receiver assumes was transmitted. if the received signal is is less than or equal to 0, then the receiver assumes was transmitted. i.e. and . Probability of error given was transmitted With this threshold, the probability of error given is transmitted is (the area in blue region): , where, is the complementary error function. Probability of error given was transmitted Similarly the probability of error given is transmitted is (the area in green region): . Total probability of bit error . Given that we assumed that and are equally probable i.e. , the bit error probability is, . Simulation model Matlab/Octave source code for computing the bit error rate with BPSK modulation from theory and simulation. The code performs the following: (a) Generation of random BPSK modulated symbols +1′s and -1′s (b) Passing them through Additive White Gaussian Noise channel (c) Demodulation of the received symbol based on the location in the constellation (d) Counting the
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Bit-error-probability-for-bpsk-modulation
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Bit Error Rate Matlab Code
File ID: #47930 Version: 1.0 BIT ERROR PROBABILITY FOR BPSK MODULATOR.docx by Nithya Nithya (view profile) 1 file probability of error for bpsk and qpsk 1 download 0.0 26 Sep 2014 (Updated 30 Sep 2014) Theoretical BER, Pe=1/2 erfc(√(E_b/N_0 )) where Eb – Transmitted signal energy per bit. | Watch this File File Information Description http://www.dsplog.com/2007/08/05/bit-error-probability-for-bpsk-modulation/ In binary phase shift keying, two output phase changes are possible for a single carrier requency. One output phase represents logic 1 and the represents for logic 0.The carrier shifts between the two phase changes are 0 and 180.Other names of BPSK are phase reversal keying and biphase modulation. BPSK is a form of suppressed-carrier, square-wave modulation of a continuous wave (CW) signal. http://www.mathworks.com/matlabcentral/fileexchange/47930-bit-error-probability-for-bpsk-modulator-docx The input signal may be a + sin ωct or – sin ωct. The coherent carrier recovery circuit detects and generates a carrier signal that is both frequency and phase coherent with the original transmit carrier. The balanced modulator produces the product of two inputs ( the BPSK signal and recovered signal ).The low pass filter separates the recovery binary data from the complex demodulated signal. Required Products MATLAB MATLAB release MATLAB 8.3 (R2014a) Tags for This File Please login to tag files. ber plot Cancel Please login to add a comment or rating. Contact us MathWorks Accelerating the pace of engineering and science MathWorks is the leading developer of mathematical computing software for engineers and scientists. Discover... Explore Products MATLAB Simulink Student Software Hardware Support File Exchange Try or Buy Downloads Trial Software Contact Sales Pricing and Licensing Learn to Use Documentation Tutorials Examples Videos and Webinars Training Get Support Installation Help Answers Consulting License Center About MathWorks Careers Company Overview Newsroom Social Mission © 1994-2016 The MathWorks, Inc. Patents Trademarks Privacy Policy Preventing Piracy Terms of Use RSS Google+ Facebook Twitter
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