Abstract — Instead of the per-survivor processing (PSP) detector which is the state-of-the-art solution for the joint data-channel estimation in fast fading channels, we propose a new reducedcomplexity maximum likelihood sequence detector (MLSD) based on the particle filtering technique. We show that the particle detector offers a better trade-off between performance and computational complexity, compared to a reduced-complexity PSP detector based on the decision-feedback sequence estimation (DFSE) algorithm. Moreover, the computational complexity of this new detector is adapted according to the signal-to-noise ratio. I
This paper formulates the channel equalization problem in the framework of constrained maximum-likel...
grantor: University of TorontoThis thesis presents the structural design, performance eva...
In this paper, the performance of continuous phase modulation (CPM) transmitted on a two-ray fading ...
this paper, we keep the approach of the joint data-channel estimation used in the PSP detector and w...
The problem of sequence detection in frequency-non-selective/time-selective fading channels, when c...
We investigate maximum likelihood sequence estimation (MLSE) of data sequences transmitted over time...
We investigate maximum likelihood sequence estimation (MLSE) of data sequences transmitted over time...
Joint data and channel estimation in a wireless communication system and over frequency selective Ra...
Per-Survivor Processing (PSP) provides a general framework for the approximation of Maximum Likeliho...
Per-survivor processing (PSP) provides a general framework for the approximation of maximum likeliho...
This article discusses computational implementation aspects and performance of a Bayesian methodolog...
We develop a new receiver for joint symbol, channel characteristics, and code delay estimation for ...
In this paper, an efficient particle filtering algorithm is developed to solve the problem of demodu...
The problem of coherent detection for a diversity receiver to combat the severe penalty of transmitt...
We investigate maximum likelihood sequence estimation (MLSE) of data sequences transmitted over time...
This paper formulates the channel equalization problem in the framework of constrained maximum-likel...
grantor: University of TorontoThis thesis presents the structural design, performance eva...
In this paper, the performance of continuous phase modulation (CPM) transmitted on a two-ray fading ...
this paper, we keep the approach of the joint data-channel estimation used in the PSP detector and w...
The problem of sequence detection in frequency-non-selective/time-selective fading channels, when c...
We investigate maximum likelihood sequence estimation (MLSE) of data sequences transmitted over time...
We investigate maximum likelihood sequence estimation (MLSE) of data sequences transmitted over time...
Joint data and channel estimation in a wireless communication system and over frequency selective Ra...
Per-Survivor Processing (PSP) provides a general framework for the approximation of Maximum Likeliho...
Per-survivor processing (PSP) provides a general framework for the approximation of maximum likeliho...
This article discusses computational implementation aspects and performance of a Bayesian methodolog...
We develop a new receiver for joint symbol, channel characteristics, and code delay estimation for ...
In this paper, an efficient particle filtering algorithm is developed to solve the problem of demodu...
The problem of coherent detection for a diversity receiver to combat the severe penalty of transmitt...
We investigate maximum likelihood sequence estimation (MLSE) of data sequences transmitted over time...
This paper formulates the channel equalization problem in the framework of constrained maximum-likel...
grantor: University of TorontoThis thesis presents the structural design, performance eva...
In this paper, the performance of continuous phase modulation (CPM) transmitted on a two-ray fading ...