G. Cherubini, ANALYSIS OF THE CONVERGENCE BEHAVIOR OF ADAPTIVE DISTRIBUTED-ARITHMETIC ECHO CANCELERS, IEEE transactions on communications, 41(11), 1993, pp. 1703-1714
Adaptive distributed-arithmetic echo cancellers are well suited for fu
ll-duplex high-speed data transmission. They allow a simpler implement
ation than adaptive linear transversal filters, since multiplications
are replaced by table look-up and shift-and-add operations. Various tr
adeoffs between the number of operations and the number of memory loca
tions of the look-up tables can be achieved by segmenting the echo can
celler delay line into sections of shorter length. Adaptivity is achie
ved by a decision-directed stochastic gradient algorithm to adjust the
contents of the look-up tables. In this paper, we adopt the mean-squa
re error criterion to investigate the convergence behavior of adaptive
distributed-arithmetic echo cancellers. Under the assumption that the
look-up values are statistically independent of the symbols stored in
the echo canceller delay line, we obtain an analytical expression for
the mean-square error as a function of time. The maximum speed of con
vergence and the corresponding optimum adaptation gain are also determ
ined. Simulation results for a full-duplex quaternary partial response
class-IV system are presented and compared with theoretical results.