OFDM symbol detection integrated with channel multipath gains estimation for doubly-selective fading channels

Wang, Yi; Leib, H.

doi:10.1016/j.phycom.2016.10.003

Cited by 12 publications

(6 citation statements)

References 42 publications

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“…We present simulation results using tensor based MMSE estimation for a MIMO OFDM system with N sc = 64 sub-carriers, 2 transmit and 2 receive antennas. The channel between each transmit and receive pair of antennas was generated as in [72], [73]. The channel impulse response matrix between n t th transmit and n r th receive antenna denoted asH (nr,nt) ∈ C Nsc×Nsc is generated by employing a two tap multipath (L = 2) fading channel following Jakes' model [74] using exponential power profile, σ 2 l = exp(−l/L)…”

Section: Estimation Of Tensors In Tt Formatmentioning

confidence: 99%

A Tensor Framework for Multi-Linear Complex MMSE Estimation

Pandey

Leib

2021

IEEE Open J. Signal Process.

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Tensors are higher order generalization of vectors and matrices which can be used to describe signals indexed by more than two indices. This paper introduces a tensor framework for minimum mean square error (MMSE) estimation for multi-domain signals and data using the Einstein Product. The framework addresses both proper and improper complex tensors. The multi-domain nature of tensors has been harnessed to provide an augmented representation of improper complex tensors to account for covariance and pseudo-covariance. The classical notions of linear and widely linear MMSE estimators are extended to tensor case leading to the notion of multi-linear and widely multi-linear MMSE estimation. The Tucker product based n-mode Wiener filtering approach more commonly used in tensor estimation has been shown to be a special case of the proposed multi-linear MMSE estimation. An application of the tensor based estimation in a multiple antenna Orthogonal Frequency Division Multiplexing (MIMO OFDM) system is presented where the tensor formulation allows a convenient treatment of inter-carrier interference. A comparison between the tensor estimation and per sub-carrier estimation used for MIMO OFDM is presented which shows a significant performance advantage of using the tensor framework.

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Section: Estimation Of Tensors In Tt Formatmentioning

confidence: 99%

A Tensor Framework for Multi-Linear Complex MMSE Estimation

Pandey

Leib

2021

IEEE Open J. Signal Process.

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“…For these reasons, OFDM has been widely adopted as the main modulation technique by many communication systems like worldwide interoperability for microwave access (WiMAX), wireless local area network (WLAN), high‐bit‐rate digital subscriber line (HDSI) and IEEE 802.11. As has been mentioned, OFDM attracts a lot of attention and is deemed to be a convincing candidate in next generation communication in last few years [3, 4].…”

Section: Introductionmentioning

confidence: 99%

Low‐complexity PTS schemes for PAPR reduction in OFDM systems

Wang

Zhou

2020

IET Communications

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“…An OFDM system has many advantages that make it superior to the rest of the multicarrier modulation techniques, such as a high capacity, immunity against intersymbol interference, and efficient bandwidth utilization [1][2][3]. An OFDM system has many advantages that make it superior to the rest of the multicarrier modulation techniques, such as a high capacity, immunity against intersymbol interference, and efficient bandwidth utilization [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

“…In recent years, orthogonal frequency division multiplexing (OFDM) systems have dominated high-speed communication frameworks because of increased demand for highdata-rate applications such as cellular video and Internet usage. An OFDM system has many advantages that make it superior to the rest of the multicarrier modulation techniques, such as a high capacity, immunity against intersymbol interference, and efficient bandwidth utilization [1][2][3]. Consequently, the OFDM framework has been adopted by numerous wireless systems, for example, digital video broadcasting, the wireless local area network (WLAN) that is the IEEE 802.11a/b/g/n standard, and worldwide interoperability for microwave access (WiMAX), which is the IEEE 802.16 standard [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

New low-complexity segmentation scheme for the partial transmit sequence technique for reducing the high PAPR value in OFDM systems

et al. 2018

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Orthogonal frequency division multiplexing (OFDM) has been the overwhelmingly prevalent choice for high‐data‐rate systems due to its superior advantages compared with other modulation techniques. In contrast, a high peak‐to‐average‐power ratio (PAPR) is considered the fundamental obstacle in OFDM systems since it drives the system to suffer from in‐band distortion and out‐of‐band radiation. The partial transmit sequence (PTS) technique is viewed as one of several strategies that have been suggested to diminish the high PAPR trend. The PTS relies upon dividing an input data sequence into a number of subblocks. Hence, three common types of the subblock segmentation methods have been adopted—interleaving (IL‐PTS), adjacent (Ad‐PTS), and pseudorandom (PR‐PTS). In this study, a new type of subblock division scheme is proposed to improve the PAPR reduction capacity with a low computational complexity. The results indicate that the proposed scheme can enhance the PAPR reduction performance better than the IL‐PTS and Ad‐PTS schemes. Additionally, the computational complexity of the proposed scheme is lower than that of the PR‐PTS and Ad‐PTS schemes.

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OFDM symbol detection integrated with channel multipath gains estimation for doubly-selective fading channels

Cited by 12 publications

References 42 publications

A Tensor Framework for Multi-Linear Complex MMSE Estimation

A Tensor Framework for Multi-Linear Complex MMSE Estimation

Low‐complexity PTS schemes for PAPR reduction in OFDM systems

New low-complexity segmentation scheme for the partial transmit sequence technique for reducing the high PAPR value in OFDM systems

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