The Kalman filter was named after Rudolph E. Kalman published in 1960 his famous paper (Kalman, 1960) describing a recursive solution to the discrete-data linear filtering problem. There are several tutorial papers and books dealing with the subject for a great variety of applications in many areas from engineering to finance (Grewal & Andrews, 2001; Sorenson, 1970; Haykin, 2001; Bar-Shalom & L...

In this thesis we investigate receiver techniques for maximum likelihood (ML) joint channel/data estimation in flat fading multipleinput multiple-output (MIMO) channels. The performance of iterative least squares (LS) for channel estimation combined with sphere decoding (SD) for data detection is examined for block fading channels, demonstrating the data efficiency provided by the semi-blind ap...

Channel impulse responses collected on the Virginia Tech campus show combinations of specular multipath and diffuse scattering at LMDS frequencies. An algorithm is presented that estimates link performance based on the channel impulse response. Presented and analyzed are representative impulse responses (one is primarily specular in nature and one shows significant diffuse scattering) to show t...

This paper examines several existing voltage equalizers techniques for energy storage system, with a focusing on batteries and supercapacitors. Due satisfy the demands, cells are often coupled in series/parallel. However, divergence of distributed among produces problems imbalance that affecting ageing system solved through equalizers. Several assessments from features topologies balancing circ...

daptive equalization has been an active area of research for many years. Even in 1985 there were a A plethora of available solutions [ 17 whose properties were well understood. Many of the techniques are firmly based on linear adaptive filter algorithms and exhibit the same much-lauded ‘learning’ property as neural networks. Alternatively, maximum likelihood strategies, which are usually based ...

In this paper we present a xed point algorithm for bit rate optimal time domain equalization in multicarrier systems. The algorithm outperforms standard MMSE equalizers in capacity measure. Moreover, it adaptively estimates the optimal signal delay which was an exhaustive search problem in MMSE equalizers. We brie y discuss the convergence properties and demonstrate the performance of the algor...

This paper presents a general structure for Minimum Mean Square Error (MMSE) equalizers from which we can derive instances such as the: two proposed Linear Equalizers with Extrinsic Feedback (LE-EF), Linear Equalizer (LE) and Decision Feedback Equalizer (DFE). The Extrinsic Information Transfer (EXIT) chart was used to analyze the two proposed MMSE LE-EF receivers and their characteristics was ...

This paper proposes per-tone equalization methods for single carrier block transmission with cyclic prefix (SC-CP) systems. Minimum mean-square-error (MMSE) based optimum weights of the per-tone equalizers are derived for SISO (single-input single-output), SIMO (single-input multipleoutput), and MIMO (multiple-input multiple-output) SC-CP systems. Unlike conventional frequency domain equalizati...

Finite-length delay-optimized multi-input multi-output (MIMO) equalizers that optimally shorten the impulse response memory of frequency-selective MIMO channels are derived. The MIMO equalizers are designed to minimize the average energy of the error sequence between the equalized MIMO channel impulse response and an MIMO target impulse response (TIR) with shorter memory. Two criteria for optim...

Multiple InputMultiple Output (MIMO) biorthogonal partners arise in many different contexts, one of them being multiwavelet theory. They also play a central role in the theory of MIMO channel equalization, especially with fractionally spaced equalizers. In this paper we first derive some theoretical properties of MIMO biorthogonal partners. We develop conditions for the existence of MIMO biorth...