Title :
Blind equalization based on prediction and polycepstra principles
Author_Institution :
Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada
Abstract :
The polycepstra and prediction equalization algorithm (POPREA) is proposed for blind equalization of nonminimum phase channels. The algorithm equalizes the amplitude and phase of the channel independently by employing linear prediction and tricepstrum principles, respectively. It guarantees convergence to a global solution. The tracking and cancellation of phase due to carrier frequency offset is carried out independently of equalization. It is demonstrated, by means of computer simulations, that the proposed POPREA is able to open the eye pattern of QAM signal constellations faster than existing polyspectra-based equalizers. The complexity of the algorithm is high but comparable to that of polyspectra equalizers.<>
Keywords :
cepstral analysis; computational complexity; convergence; digital communication; equalisers; higher order statistics; prediction theory; quadrature amplitude modulation; telecommunication channels; POPREA; QAM signal constellations; amplitude; blind equalization; cancellation; carrier frequency offset; complexity; convergence; eye pattern; global solution; linear prediction; nonminimum phase channels; phase; polycepstra and prediction equalization algorithm; tracking; tricepstrum principles; Blind equalizers; Computer simulation; Constellation diagram; Frequency; Prediction algorithms; Quadrature amplitude modulation;
Journal_Title :
Communications, IEEE Transactions on