Low-Complexity Channel Estimation and Detection for MIMO-OFDM Receiver With ESPAR Antenna

Chisaguano, Diego Javier Reinoso; Hou, Yafei; Higashino, Takeshi; Okada, Minoru

doi:10.1109/tvt.2015.2506782

Cited by 13 publications

(8 citation statements)

References 27 publications

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“…Then, we propose a system model of the diversity receiver with PVAP antenna. The PVAP antenna can be realized by ESPAR antenna [1], [6], [8], [14]. In general, ESPAR antenna consists of an active antenna element and multiple passive antenna elements.…”

Section: System Modelmentioning

confidence: 99%

See 1 more Smart Citation

Diversity Reception and Interference Cancellation for Receivers Using Antenna with Periodically Variable Antenna Pattern

Kinjo

Saito

2021

IEICE Trans. Fundamentals

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Section: System Modelmentioning

confidence: 99%

“…1 Fig. 1(c) can be written as (7). Instead of (1), if we consider a DC component and (N r − 1)/2 orthogonal sinusoidal voltages, we can generalize the antenna pattern as…”

Section: System Modelmentioning

confidence: 99%

Diversity Reception and Interference Cancellation for Receivers Using Antenna with Periodically Variable Antenna Pattern

Kinjo

Saito

2021

IEICE Trans. Fundamentals

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“…In order to take advantage of the channel sparsity, we introduced the compressed sensing (CS) theory to estimate channel in MIMO-OFDM systems [13]. One of the advantages is that the pilots needed in CS-based channel estimation are much less than that of LS and MMSE [14]. Literature [15] uses orthogonal matching pursuit (OMP) and compressed sampling matching pursuit (CoSaMP) to achieve channel estimation of MIMO-OFDM systems.…”

Section: Background Knowledgementioning

confidence: 99%

Sparse massive MIMO-OFDM channel estimation based on compressed sensing over frequency offset environment

et al. 2019

EURASIP J. Adv. Signal Process.

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In massive MIMO-OFDM systems, channel estimation is a significant module which can be utilized to eliminate multipath interference. However, in realistic communication systems, carrier frequency offset (CFO), which often exists in receive end, will deteriorate the performance of channel estimation. One of the effective solutions is to compensate CFO via the help of pseudo-noise (PN) sequence. At the beginning of this paper, to reduce system complexity and correctly compensate CFO, we propose an improved OFDM frame structure. Subsequently, we theoretically analyze the catastrophic influence of CFO on conventional PN-sequence-based compressed sensing (CS) channel estimation scheme. As our solution, based on the improved OFDM frame structure, a novel massive MIMO-OFDM channel estimation method under CFO environment is proposed. It first estimates CFO by utilizing differential correlation algorithm. Thereby, the interference caused by CFO can be eliminated. Then, relying on the PN sequence, the partial common support (PCS) information of each channel is obtained. Finally, using the PCS information as a priori information, we improve the CS reconstruction scheme to estimate the accurate channel. The simulation result shows that the proposed scheme demonstrates better MSE and BER performance than other mentioned schemes. The major advantage of our scheme is its anti-CFO ability and independence to channel sparsity level. Therefore, the proposed scheme is meaningful for practical use.

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“…In the rotating antenna, a combination of reactance values, which generates a desired antenna pattern, is applied sequentially to the multiple reactance elements of the antenna to rotationally change the directivity of the antenna. Also investigated was an ESPAR antenna based on the diversity receiver whose antenna patterns are time variable in a sinusoidal manner and are suitable for the MIMO-orthogonal frequency-division multiplexing (OFDM) receiver [9]. Other researches have been studied on diversity and MIMO receivers with ESPAR antennas having periodically variable antenna patterns by both theoretical and experimental investigations [10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Antenna Pattern Multiplexing for Enhancing Path Diversity

Saito¹

2020

Advances in Array Optimization

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In this chapter, we show the concept of antenna pattern multiplexing (APM), which enhances path diversity gain and antenna pattern diversity reception in multipath rich fading environment. We discuss the types of antennas that achieve the APM, i.e., generating time-varying antenna pattern and the benefits of reducing antenna size and hardware cost. When electronically steerable passive array radiator (ESPAR) antenna is used, the benefits can be maximised. A model of receiving process is proposed for analysing the ergodic capacity of multiple-input multipleoutput (MIMO) systems using APM. We derive a model of received signals to analyse the system performance. The received signal in matrix form includes an equivalent channel matrix, which is a product of antenna pattern matrix, the channel coefficient vector for each output. Numerical results in terms of ergodic capacity show the comparable performances of the proposed MIMO with APM to the conventional MIMO systems; in particular, the number of arrival paths and the number of antenna pattern are sufficiently large. Also the ergodic capacity can be equivalent to that of the conventional MIMO systems when the average SNR per antenna pattern is constant among the virtual antennas.

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Low-Complexity Channel Estimation and Detection for MIMO-OFDM Receiver With ESPAR Antenna

Cited by 13 publications

References 27 publications

Diversity Reception and Interference Cancellation for Receivers Using Antenna with Periodically Variable Antenna Pattern

Diversity Reception and Interference Cancellation for Receivers Using Antenna with Periodically Variable Antenna Pattern

Sparse massive MIMO-OFDM channel estimation based on compressed sensing over frequency offset environment

Antenna Pattern Multiplexing for Enhancing Path Diversity

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