Abstract: An electronic circuit for use with time of arrival signals from a network, including a position determination unit, a first clock, a second clock, and processing circuitry coupled to said first clock, said second clock, and said position determination unit. The processing circuitry is operable to project a relatively-accurate subsequent global time based on said first and second clocks and to then return said relatively-accurate subsequent global time to said position determination unit to facilitate a subsequent position determination by said position determination unit.

Abstract: An electronic circuit for use with time of arrival signals from a network, including a position determination unit, a first clock, a second clock, and processing circuitry coupled to said first clock, said second clock, and said position determination unit. The processing circuitry is operable to project a relatively-accurate subsequent global time based on said first and second clocks and to then return said relatively-accurate subsequent global time to said position determination unit to facilitate a subsequent position determination by said position determination unit.

Abstract: A wireless circuit (1100, 1190) for tracking an incoming signal and for use in a network (2000) having handover from one part (Cell A) of the network to another part (Cell B).

Abstract: A wireless circuit (1100, 1190) for tracking an incoming signal and for use in a network (2000) having handover from one part (Cell A) of the network to another part (Cell B).

Abstract: A technique for the blind equalization of digital communications channels relies on the iterative minimization of a cost function known as the J-divergence between a known or assumed probability density function (PDF) of the source data signal and an estimated PDF of a receiver decision output signal derived from the equalizer output signal by minimum-distance mapping. The J-divergence function is defined in terms of the Kullback-Leibler distance between the two PDFs. Minimization is achieved by continually updating both an equalizer tap coefficient vector and the estimated PDF of the decision output signal using a stochastic gradient algorithm applied to the J-divergence cost function.