Channel Equalization Using a Kalman Filter for Fast Data Transmission

Performance Analysis of Adaptive Noise Canceller Employing NLMS Algorithm

“…Godard in 1974, contributed to the development of adaptive filtering algorithms. Kalman filter theory was utilized in his work to devise a novel class of adaptive filtering schemes for achieving fast convergence of the transversal filter's tap weights to their optimum values [9]. A comparison of the performances of RLSL (Recursive Least Squares Lattice) and normalized step-size SGL (Stochastic Gradient Lattice) schemes to that of the LMS transversal scheme for cancelling sinusoidal interferences was made in [10].…”

A Brief Investigation of Adaptive Decision Feedback Equalization for Digital HF Links Employing PSK (Phase Shift Keying) Modulation.

“…Therefore increasing the transmitted carrier power, which increases bothEIsI and F s but leaves E IsI/E unaltered, does not effectively combat the effects of high levels of intersymbol interference. Ratio of E, 3 , to Es (dB) * Figure 10. Bit error rate versus EISI/E 5 for both receiver models with Es/No equal to 6 dB and 10 .…”

The Kalman filter in the context of adaptive filter theory

“…This form then provides a convenient base for the discussion of the RLS ¶ algorithm. The fundamental relationship between the two areas has already been established in the 1970s [2,3], where various RLS adaptive ÿlters were directly derived from the Kalman ÿlter. Many textbooks, e.g.…”