Title :
Error Vector Magnitude Analysis for OFDM Systems
Author :
Zhao, Chunming ; Bax, Robert J.
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Tech, Atlanta, GA
fDate :
Oct. 29 2006-Nov. 1 2006
Abstract :
Error vector magnitude (EVM) is a popular figure-of-merit adopted by various communication standards for evaluating in-band distortions introduced in a communication system. In this paper, we regard EVM as a random variable and investigate its statistical distributions as the result of the following distortion mechanisms: phase noise, amplitude clipping, power amplifier nonlinearities, and gain/phase imbalances in orthogonal frequency division multiplexing (OFDM) systems. We relate key parameters characterizing the various distortion mechanisms to the statistical behavior of EVM; such statistical behavior can be used to verify compliance of the transmit signals to the requirements of the standard.
Keywords :
OFDM modulation; distortion; random processes; statistical distributions; OFDM system; amplitude clipping; error vector magnitude analysis; gain imbalance; in-band distortion mechanism; phase imbalance; phase noise; power amplifier nonlinearity; random variable; statistical distribution; Bit error rate; Communication standards; Computer errors; Error analysis; Multiaccess communication; OFDM; Phase distortion; Phase noise; Power amplifiers; Random variables;
Conference_Titel :
Signals, Systems and Computers, 2006. ACSSC '06. Fortieth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
1-4244-0784-2
Electronic_ISBN :
1058-6393
DOI :
10.1109/ACSSC.2006.355078