A novel adaptive nonlinear equalizer for fast timevarying multipath channels that combines the channel-estimation and data-detection tasks is presented. The a posteriori probabilities (APP’s) of he states of the intersymbol interference (ISI) channel are recursively computed from the received data by a symbol-by-symbol (SbS) detector [7] and are then employed by a Kalman-type nonlinear channel estimator. Robust channel tracking and good data-detection performance are obtained, with a reasonable receiver complexity
Robust adaptive multiuser detection schemes are developed for direct-sequence code-division multiple...
Communication poses challenges in the presence of interference channel environments. In order to att...
The main contribution of this thesis is the development of high performing, reduced complexity recei...
The paper presents a novel fast-adaptive nonlinear receiver which exploits soft statistics for track...
The effectiveness of the recently proposed adaptive Maximum A Posteriori (MAP) receiver in Cusani an...
This paper addresses joint channel and data estimation for transmission over frequency-selective and...
This thesis describes new techniques of detection and fast start-up channel estimation for transmitt...
In this paper, novel statistical sampling based equalization techniques and CNN based detection are ...
Novel channel equalizer algorithms are introduced for wireless communication systems to combat chan...
This paper develops a low-complexity soft-decision equalization approach for frequency selective mul...
This letter addresses the problem of channel estimation in fast time-varying frequency selective cha...
Abstract—We address the problem of joint source symbol detection and multi-channel estimation in tim...
A new maximum a posteriori (MAP) equalizer is proposed for digital radio links affected by large mul...
A taxonomy of algorithms in digital receivers is presented, including data, channel and joint estima...
The objective of the present study is reliable digital communications over fading channels with seve...
Robust adaptive multiuser detection schemes are developed for direct-sequence code-division multiple...
Communication poses challenges in the presence of interference channel environments. In order to att...
The main contribution of this thesis is the development of high performing, reduced complexity recei...
The paper presents a novel fast-adaptive nonlinear receiver which exploits soft statistics for track...
The effectiveness of the recently proposed adaptive Maximum A Posteriori (MAP) receiver in Cusani an...
This paper addresses joint channel and data estimation for transmission over frequency-selective and...
This thesis describes new techniques of detection and fast start-up channel estimation for transmitt...
In this paper, novel statistical sampling based equalization techniques and CNN based detection are ...
Novel channel equalizer algorithms are introduced for wireless communication systems to combat chan...
This paper develops a low-complexity soft-decision equalization approach for frequency selective mul...
This letter addresses the problem of channel estimation in fast time-varying frequency selective cha...
Abstract—We address the problem of joint source symbol detection and multi-channel estimation in tim...
A new maximum a posteriori (MAP) equalizer is proposed for digital radio links affected by large mul...
A taxonomy of algorithms in digital receivers is presented, including data, channel and joint estima...
The objective of the present study is reliable digital communications over fading channels with seve...
Robust adaptive multiuser detection schemes are developed for direct-sequence code-division multiple...
Communication poses challenges in the presence of interference channel environments. In order to att...
The main contribution of this thesis is the development of high performing, reduced complexity recei...