Channel and noise variance estimation and tracking algorithms for unique-word based single-carrier systems

Coon, Justin P.; Beach, M.A.; McGeehan, JP; Sandell, Magnus

doi:10.1109/iswcs.2004.1407207

Cited by 30 publications

(31 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We evaluate the performance of SC-FDE employing WEB-CE in the slow time-varying channels [3]. In the simulation, a recursive systematic convolutional encoder with a generator G = [7 5] and BCJR SISO decoding algorithm were employed.…”

Section: Simulation Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Block Iterative/Adaptive Frequency-Domain Channel Estimation for Cyclic-Prefixed Single-Carrier Broadband Wireless Systems

Baek

Seo

2008

International Journal of Digital Multimedia Broadcasting

View full text Add to dashboard Cite

This paper presents a new block iterative/adaptive frequency-domain channel estimation scheme, in which a channel frequency response (CFR) is estimated iteratively by the proposed weighted element-wise block adaptive frequency-domain channel estimation (WEB-CE) scheme using the soft information obtained by a soft-input soft-output (SISO) decoder. In the WEB-CE, an equalizer coefficient is calculated by minimizing a weighted conditional squared-norm of the a posteriori error vector with respect to its correction term. Simulation results verify the superiority of the WEB-CE in a time-varying typical urban (TU) channel.

show abstract

Section: Simulation Resultsmentioning

confidence: 99%

“…This, it highlights the need for the precise estimation of CFR. In [3,4], an adaptive channel estimation scheme using the hard information from the decision was presented. In [5], an iterative (nonadaptive) channel estimation scheme using the soft information obtained from a soft-input soft-output (SISO) decoder was presented.…”

Section: Introductionmentioning

confidence: 99%

Block Iterative/Adaptive Frequency-Domain Channel Estimation for Cyclic-Prefixed Single-Carrier Broadband Wireless Systems

Baek

Seo

2008

International Journal of Digital Multimedia Broadcasting

View full text Add to dashboard Cite

show abstract

“…UW structure is introduced to improve the performance of DFE as in Fig.2 (b) [3][4]. It replaces some data bits and also plays a similar role as the CP.…”

Section: Conventional Equalization Schemes In Dft-s Ofdm Systemmentioning

confidence: 99%

“…In fact, as shown later in simulation results, conventional DFE almost cannot be used in DFT-S OFDM systems. Unique word (UW) is proposed in the literatures [3][4][5], as a known symbol sequence, can make error propagation beyond one FFT-block impossible since the last symbols of every block are always decided correctly. But the UW based scheme is not appropriate for DFT-S OFDM which will be detailed latter.…”

Section: Introductionmentioning

confidence: 99%

Iterative decision feedback equalizer with cyclic detection for DFT-S OFDM system

Wang

Yang

Wang

2010

Computers & Electrical Engineering

View full text Add to dashboard Cite

Abstract-This paper proposes a simple and efficient decision feedback equalizer (DFE) for Discrete Fourier Transform-Spread Orthogonal Frequency Division Multiplex (DFT-S OFDM) system in Evolved-Universal Telecommunication Radio Access (E-UTRA) [1] uplink transmission. Through cyclic detection and iteration, the new algorithm obtains a noticeable gain than conventional DFE, and is almost as effective as the modified UW based methods but with much higher bandwidth efficiency. Furthermore, it does not need to change the frame structure of existing protocol.

show abstract

“…We previously showed [8] that the use of training sequence-aided SC (TA-SC) block transmission [9,10] instead of CP-SC block transmission can significantly reduce the probability of removing the correct path at early stages in QRM-MLBD in the case of single-input single-output (SISO) case. We apply previously proposed training sequence-aided QRM-MLBD to the SC-MIMO spatial multiplexing.…”

Section: Introductionmentioning

confidence: 99%

Training Sequence-Aided QRM-MLD Block Signal Detection for Single-Carrier MIMO Spatial Multiplexing

Yamamoto

Takeda

Adachi

2011

2011 IEEE International Conference on Communications (ICC)

View full text Add to dashboard Cite

Abstract-We propose a maximum likelihood block signal detection using QR decomposition and M-algorithm (called QRM-MLBD) for training sequence-aided single-carrier (TA-SC) multi-input multi-output (MIMO) spatial multiplexing. QRM-MLBD can significantly improve the packet error rate (PER) performance of cyclic prefix-inserted single-carrier (CP-SC) MIMO spatial multiplexing when compared to the frequency-domain minimum mean square error (MMSE) detection. However, in order to achieve the sufficiently improved performance, the use of a fairly large number M of surviving paths in the M-algorithm is required because if smaller M is used, the probability of removing the correct path at early stages increases. In this paper, to reduce this probability, we propose the use of TA-SC transmission instead of CP-SC transmission and show that the use of training sequence can significantly reduce the probability of removing the correct path at early stages in QRM-MLBD. We show, by computer simulation, that TA-SC MIMO spatial multiplexing using QRM-MLBD can achieve the PER performance similar to CP-SC MIMO spatial multiplexing while significantly reducing the computational complexity, about 8% of computational complexity of CP-SC MIMO in the case of 16QAM and 4×4 MIMO spatial multiplexing.

show abstract

Channel and noise variance estimation and tracking algorithms for unique-word based single-carrier systems

Cited by 30 publications

References 21 publications

Block Iterative/Adaptive Frequency-Domain Channel Estimation for Cyclic-Prefixed Single-Carrier Broadband Wireless Systems

Block Iterative/Adaptive Frequency-Domain Channel Estimation for Cyclic-Prefixed Single-Carrier Broadband Wireless Systems

Iterative decision feedback equalizer with cyclic detection for DFT-S OFDM system

Training Sequence-Aided QRM-MLD Block Signal Detection for Single-Carrier MIMO Spatial Multiplexing

Contact Info

Product

Resources

About