Authors:
M. Vastram Naik
;
A. Mahanta
;
R. Bhattacharjee
and
H. B. Nemade
Affiliation:
Indian Institute of Technology, India
Keyword(s):
Automatic Blind Modulation Recognition (ABMR), Mean Square Error power (MSE), Mean Square Error Difference (MSED), Threshold On Moment (TOM), Constant Modulus Algorithm (CMA), Tapped Delay Line filter (TDL).
Related
Ontology
Subjects/Areas/Topics:
4G Systems
;
Telecommunications
;
Wireless and Mobile Technologies
;
Wireless Information Networks and Systems
Abstract:
This paper addresses Automatic Blind Modulation Recognition (ABMR)problem, utilizing a Mean Square Error (MSE) decision rule to recognize and differentiate M-ary PSK modulated signals in presence of noise and fading. The performance of the modulation recognition scheme has been evaluated by simulating different types of PSK signals. By putting appropriate Mean Square Error Difference Threshold (MSEDT) on Mean Square Error (MSE), the proposed scheme has been found to recognize the different modulated signals with 100% recognition accuracy at Signal to Noise Ratio (SNR) as low as 1 dB in AWGN channels. The data samples required to be used for performing recognition is very small, thereby greatly reducing the time complexity of the recognizer. For fading signal Constant Modulus (CM) equalization has been applied prior to performing recognition. It has been observed that when CM equalization is used, 100 % recognition can be achieved at SNR as low as 6 dB.