DCT-based channel estimation for wireless OFDM systems with the hexagonal pilot pattern

Lizhong, Han; Wu, Bingyang

doi:10.1109/wcsp.2010.5633531

Cited by 4 publications

(4 citation statements)

References 11 publications

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“…Random receiver noise is reduced by oversampling based on the assumption that the signal is coherent and that the noise is random. We extended our analysis to remove the effects of channel estimation errors by applying 2D DCT filtering in both time and frequency [30][31][32]. The 2D DCT has significantly reduced the effect of noise on our measurement results.…”

Section: Measurement Results and Analysismentioning

confidence: 99%

“…We utilized the LS estimation approach to get the initial MIMO channel estimates at the pilot subcarriers, which was then further improved using a 2D DCT filtering technique in both time and frequency [30][31][32]. The effectiveness of this technique is shown in the Section 1.4.…”

Section: Least Square Channel Estimationmentioning

confidence: 99%

“…In this analysis, the MIMO channels are estimated by the least square (LS) channel estimation method with known channel training symbols [29]. The channel estimation error due to lower signal-to-noise ratio (SNR) at a longer TX-RX separation distance is substantially reduced by applying twodimensional discrete cosine transform (2D DCT)-based filtering to take advantage of the time and frequency coherence of the channel [30][31][32].…”

Section: Introductionmentioning

confidence: 99%

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Experimental evaluation of theperformance of 2×2 MIMO-OFDM for vehicle-to-infrastructure communications

Onubogu

Ziri-Castro

Jayalath

et al. 2015

J Wireless Com Network

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In this paper, a novel 2 × 2 multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) testbed based on an Analog Devices AD9361 highly integrated radio frequency (RF) agile transceiver was specifically implemented for the purpose of estimating and analyzing MIMO-OFDM channel capacity in vehicle-to-infrastructure (V2I) environments using the 920 MHz industrial, scientific, and medical (ISM) band. We implemented two-dimensional discrete cosine transform-based filtering to reduce the channel estimation errors and show its effectiveness on our measurement results. We have also analyzed the effects of channel estimation error on the MIMO channel capacity by simulation. Three different scenarios of subcarrier spacing were investigated which correspond to IEEE 802.11p, Long-Term Evolution (LTE), and Digital Video Broadcasting Terrestrial (DVB-T)(2k) standards. An extensive MIMO-OFDM V2I channel measurement campaign was performed in a suburban environment. Analysis of the measured MIMO channel capacity results as a function of the transmitter-to-receiver (TX-RX) separation distance up to 250 m shows that the variance of the MIMO channel capacity is larger for the near-range line-of-sight (LOS) scenarios than for the long-range non-LOS cases, using a fixed receiver signal-to-noise ratio (SNR) criterion. We observed that the largest capacity values were achieved at LOS propagation despite the common assumption of a degenerated MIMO channel in LOS. We consider that this is due to the large angular spacing between MIMO subchannels which occurs when the receiver vehicle rooftop antennas pass by the fixed transmitter antennas at close range, causing MIMO subchannels to be orthogonal. In addition, analysis on the effects of different subcarrier spacings on MIMO-OFDM channel capacity showed negligible differences in mean channel capacity for the subcarrier spacing range investigated. Measured channels described in this paper are available on request. Keywords: MIMO-OFDM; Capacity; V2I; LOS; Channel Review IntroductionMultiple-input multiple-output (MIMO) systems have attracted considerable attention due to the increasing requirements of high capacity, spectral efficiency, and reliability in wireless communications. For example, MIMO systems have been adopted in the Long-Term Evolution (LTE) system, and it is expected that the upcoming developments in IEEE 802.11p and Digital Video Broadcasting Terrestrial (DVB-T) wireless standards will include the use of MIMO. It has been shown [1] that MIMO, *Correspondence: okechukwu.onubogu@qut.edu.au 1 School of Electrical Engineering and Computer Science, Queensland University of Technology, Brisbane, QLD 4001, Australia Full list of author information is available at the end of the article when deployed in a rich scattering environment, is capable of achieving high spectral efficiency, capacity, and reliability by exploiting the increased spatial degrees of freedom. MIMO is often combined with the orthogonal frequency division multiplexing (OFDM) in m...

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Section: Measurement Results and Analysismentioning

confidence: 99%

Section: Least Square Channel Estimationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Experimental evaluation of theperformance of 2×2 MIMO-OFDM for vehicle-to-infrastructure communications

Onubogu

Ziri-Castro

Jayalath

et al. 2015

J Wireless Com Network

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“…In particular, the 8-point DCT is adopted in several image and video compression standards [7], including JPEG [8], MPEG-1 [9], H.264 [10], and HEVC [11]. Other DCT properties, such as orthogonality, lead to various different applications, including channel parameters estimation in multi-antenna and multi-cell interference channels [12], data aggregation in wireless sensor networks [13,14], chip design for wireless multimedia terminals [15], and channel estimation for OFDM systems [16][17][18]. Thus, the efficient and precise DCT computation is a desirable operation.…”

Section: Introductionmentioning

confidence: 99%

Error‐free computation of 8‐point discrete cosine transform based on the Loeffler factorisation and algebraic integers

Coelho

Cintra

Kulasekera

et al. 2016

IET signal process.

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An 8-point discrete cosine transform (DCT) fast algorithm based on the Loeffler DCT factorisation and algebraic integer (AI) representation is proposed. The proposed algorithm is an error-free implementation of the Loeffler algorithm and it is capable of computing the 8-point DCT multiplierlessly. Decoding architectures are also proposed for mapping AI encoded quantities back to usual fixed point arithmetic using canonical signed digit representation and the expansion factor method. The proposed algorithm is mapped into systolic-array digital architectures and physically realised as digital prototype circuits using field-programmable gate array technology on a Reconfigurable Open Architecture Computing Hardware board and mapped to 0.18 μm complementary metal-oxide-semiconductor technology using AMS Encounter Digital Implementation libraries at 1.8 V supply.

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An Improved DCT-Based Channel Estimation Algorithm with Channel PDP Modeling

Luo

Wang

2022

2022 3rd Information Communication Technologies Conference (ICTC)

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DCT-based channel estimation for wireless OFDM systems with the hexagonal pilot pattern

Cited by 4 publications

References 11 publications

Experimental evaluation of theperformance of 2×2 MIMO-OFDM for vehicle-to-infrastructure communications

Experimental evaluation of theperformance of 2×2 MIMO-OFDM for vehicle-to-infrastructure communications

Error‐free computation of 8‐point discrete cosine transform based on the Loeffler factorisation and algebraic integers

An Improved DCT-Based Channel Estimation Algorithm with Channel PDP Modeling

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