Journal ArticleDOI
Least sum of squared errors (LSSE) channel estimation
S.N. Crozier,David Falconer,Samy A. Mahmoud +2 more
- Vol. 138, Iss: 4, pp 371-378
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TLDR
In this article, a least sum of squared errors (LSSE) channel estimation algorithm is presented for estimating a channel impulse response from a known training sequence, and the effect of channel estimation errors on the performance of some data detectors is also investigated.Abstract:
A least sum of squared errors (LSSE) channel estimation algorithm is presented for estimating a channel impulse response from a known training sequence. Optimum training sequences are found and tabulated for different channel responses and training sequence lengths. The effect of channel estimation errors on the performance of some data detectors is also investigated. A simple approximation for the expected degradation in performance with channel estimation errors is derived.read more
Citations
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Journal ArticleDOI
How much training is needed in multiple-antenna wireless links?
TL;DR: This work compute a lower bound on the capacity of a channel that is learned by training, and maximize the bound as a function of the received signal-to-noise ratio (SNR), fading coherence time, and number of transmitter antennas.
Journal ArticleDOI
Carrier-frequency estimation for transmissions over selective channels
M. Morelli,U. Mengali +1 more
TL;DR: Carrier-frequency estimation for burst transmissions over frequency-selective channels is dealt with, all based on the use of known training sequences, and the structure of the schemes comes from heuristic reasoning.
Journal ArticleDOI
Great expectations: the value of spatial diversity in wireless networks
TL;DR: This paper adopts spatial diversity as a central theme, and illustrates its benefits across the physical (signal transmission/coding and receiver signal processing) and networking (resource allocation, routing, and applications) layers.
Journal ArticleDOI
Optimal training signals for MIMO OFDM channel estimation
Hlaing Minn,Naofal Al-Dhahir +1 more
TL;DR: This paper presents general classes of optimal training signals for the estimation of frequency-selective channels in MIMO OFDM systems and designs can be applied to pilot-only schemes as well as pilot-data-multiplexed schemes.
Journal ArticleDOI
Training sequence design for frequency offset and frequency-selective channel estimation
Petre Stoica,Olivier Besson +1 more
TL;DR: The main contribution is to show that a white sequence is minmax optimal for both criteria considered, and that the quest for a generally optimal sequence is hardly motivated.
References
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Book
Adaptive Signal Processing
Bernard Widrow,Samuel D. Stearns +1 more
TL;DR: This chapter discusses Adaptive Arrays and Adaptive Beamforming, as well as other Adaptive Algorithms and Structures, and discusses the Z-Transform in Adaptive Signal Processing.
Book
Digital Processing of Speech Signals
TL;DR: This paper presents a meta-modelling framework for digital Speech Processing for Man-Machine Communication by Voice that automates the very labor-intensive and therefore time-heavy and expensive process of encoding and decoding speech.
Journal ArticleDOI
Maximum-likelihood sequence estimation of digital sequences in the presence of intersymbol interference
TL;DR: In this paper, a maximum likelihood sequence estimator for a digital pulse-amplitude-modulated sequence in the presence of finite intersymbol interference and white Gaussian noise is developed, which comprises a sampled linear filter, called a whitened matched filter, and a recursive nonlinear processor, called the Viterbi algorithm.
Journal ArticleDOI
Crosscorrelation properties of pseudorandom and related sequences
TL;DR: This paper presents a survey of recent results and provides several new results on the periodic and aperiodic crosscorrelation functions for pairs of m-sequences and for Pair of related (but not maximal-length) binary shift register sequences.