Title :
Myopic channel identification: identifying unknown channels based on known pulse shapes
Author_Institution :
Dept. of Electr. Eng., Auburn Univ., AL, USA
Abstract :
Blind channel identification has become a popular research subject. In this paper, we present the concept of myopic channel identification: blind channel identification based on known parts of the overall channel. By relying on known information such as pulse shaping filter and the anti-aliasing filter responses, the performance of channel identification and equalization can be significantly enhanced for digital communication systems. We present simple methods designed for time-domain and frequency domain implementations. Our simulation results demonstrate the performance of these approaches
Keywords :
antialiasing; data communication; digital filters; digital radio; digital television; equalisers; frequency-domain analysis; high definition television; identification; land mobile radio; multipath channels; pulse shaping circuits; time-domain analysis; anti-aliasing filter response; blind channel identification; digital communication systems; equalization; frequency domain implementation; known pulse shapes; myopic channel identification; performance; pulse shaping filter response; time-domain implementation; unknown channels; Covariance matrix; Data communication; Design methodology; Digital filters; Information filtering; Information filters; Pulse modulation; Pulse shaping methods; Quadrature amplitude modulation; Shape;
Conference_Titel :
Global Telecommunications Conference, 1995. GLOBECOM '95., IEEE
Print_ISBN :
0-7803-2509-5
DOI :
10.1109/GLOCOM.1995.502013
