Probability Of Error Qpsk
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6, 2007 Given that we have discussed symbol error rate probability for a 4-PAM modulation, let us know focus on finding the symbol error probability for a QPSK (4-QAM) modulation scheme. Background Consider that the alphabets qpsk theory used for a QPSK (4-QAM) is (Refer example 5-35 in [DIG-COMM-BARRY-LEE-MESSERSCHMITT]). Download free e-Book discussing qpsk modulation and demodulation theoretical and simulated error rates for the digital modulation schemes like BPSK, QPSK, 4-PAM, 16PSK and 16QAM. Further, Bit Error Rate with bpsk vs qpsk Gray coded mapping, bit error rate for BPSK over OFDM are also discussed. Interested in MIMO (Multiple Input Multiple Output) communications? Click here to see the post describing six equalizers with 2×2 V-BLAST. Read about using multiple
Bit Error Rate For Qpsk Matlab Code
antennas at the transmitter and receiver to improve the diversity of a communication link. Articles include Selection diversity, Equal Gain Combining, Maximal Ratio Combining, Alamouti STBC, Transmit Beaforming. Figure: Constellation plot for QPSK (4-QAM) constellation The scaling factor of is for normalizing the average energy of the transmitted symbols to 1, assuming that all the constellation points are equally likely. Noise model Assuming that the additive noise follows the Gaussian probability distribution function, with qpsk constellation diagram and . Computing the probability of error Consider the symbol The conditional probability distribution function (PDF) of given was transmitted is: . Figure: Probability density function for QPSK (4QAM) modulation As can be seen from the above figure, the symbol is decoded correctly only if falls in the area in the hashed region i.e. . Probability of real component of greater than 0, given was transmitted is (i.e. area outside the red region) , where the complementary error function, . Similarly, probability of imaginary component of greater than 0, given was transmitted is (i.e. area outside the blue region). . The probability of being decoded correctly is, . Total symbol error probability The symbol will be in error, it atleast one of the symbol is decoded incorrectly. The probability of symbol error is, . For higher values of , the second term in the equation becomes negligible and the probability of error can be approximated as, . Simulation Model Simple Matlab/Octave script for generating QPSK transmission, adding white Gaussian noise and decoding the received symbol for various values. Click here to download: Matlab/Octave script for computing the symbol error rate for QPSK modulation Figure: Symbol Error Rate for QPSK (4QAM) modulation Observations 1. Can see good agreement between the simulated and theoretical plots for 4-QAM modulation 2. When compared with 4-
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Qpsk Pdf
below. Κλείσιμο Ναι, θέλω να τη κρατήσω Αναίρεση Κλείσιμο Αυτό το βίντεο δεν
Symbol Error Rate Definition
είναι διαθέσιμο. Ουρά παρακολούθησηςΟυράΟυρά παρακολούθησηςΟυρά Κατάργηση όλωνΑποσύνδεση Φόρτωση... Ουρά παρακολούθησης Ουρά __count__/__total__ 35. Error Performance of QPSK kashyap B ΕγγραφήΕγγραφήκατεΚατάργηση http://www.dsplog.com/2007/11/06/symbol-error-rate-for-4-qam/ εγγραφής15.23315 χιλ. Φόρτωση... Φόρτωση... Σε λειτουργία... Προσθήκη σε... Θέλετε να το δείτε ξανά αργότερα; Συνδεθείτε για να προσθέσετε το βίντεο σε playlist. Σύνδεση Κοινή χρήση Περισσότερα Αναφορά Θέλετε να αναφέρετε το βίντεο; Συνδεθείτε για να αναφέρετε ακατάλληλο περιεχόμενο. Σύνδεση Στατιστικά στοιχεία 4.490 προβολές https://www.youtube.com/watch?v=A8Uf01yDPug 6 Σας αρέσει αυτό το βίντεο; Συνδεθείτε για να μετρήσει η άποψή σας. Σύνδεση 7 1 Δεν σας αρέσει αυτό το βίντεο; Συνδεθείτε για να μετρήσει η άποψή σας. Σύνδεση 2 Φόρτωση... Φόρτωση... Φόρτωση... Η δυνατότητα αξιολόγησης είναι διαθέσιμη όταν το βίντεο είναι ενοικιασμένο. Αυτή η λειτουργία δεν είναι διαθέσιμη αυτήν τη στιγμή. Δοκιμάστε ξανά αργότερα. Δημοσιεύτηκε στις 13 Μαρ 2013For More Video lectures from IIT Professors .......visitwww.satishkashyap.com"DIGITAL COMMUNICATIONS" by Prof. S. Chakrabarti, IIT KGP1. Syllabus and Overview2. EM Spectrum and Narrowband Signals3. Introduction to Digital Communication Systems4. Introduction to Information Theoretic Approach5. Introduction to Information Theoretic Approach & DiscreteProbability6. Discrete Probability7. Measure of Information8. Average Mutual Information & Entropy9. Huffman coding10. Huffman coding & Error Control Coding11. Error Control Coding & Hamming Code1
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