A Residual Frequency Offset Synchronization Scheme Using a Simplified CORDIC Algorithm in OFDM Systems

Han, Jae-Woong; Jang, Young-Beom

doi:10.1109/ausctw.2009.4805602

Cited by 5 publications

(7 citation statements)

References 5 publications

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“…4(a) and (b). As shown in the figure, the processing units of the architectures can be implemented using compact CORDIC [11] to speed up the decomposition process. In addition, LC-CGR-based architecture needs more number of flip-flops for holding the computed results at every cycle.…”

Section: B Architecture Of the Proposed Qr Decomposition Modulementioning

confidence: 99%

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High-speed tournament givens rotation-based QR Decomposition Architecture for MIMO Receiver

Lee

Yoon

2012

2012 IEEE International Symposium on Circuits and Systems

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This paper presents a high-speed hardware architecture of an improved Givens rotation-based QR decomposition, named tournament-based complex Givens rotation (T-CGR). In the proposed approach, more than one pivots are selected and zero-insertion processes of Givens-rotations are performed in parallel like tournament in order to increase the throughput. As a result, the QR decomposition performance significantly increases compared to the triangular systolic array (TSA) approach. Moreover, the circuit area was reduced due to the smaller number of flip-flops for holding the computed results during the decomposition process. The proposed QR decomposition hardware was implemented using TSMC 0.25 um technology. The experimental results show that the proposed architecture achieves 73.00% speed-up over the TACR/TSA-based architecture for the 8 × 8 matrix decomposition.

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Section: B Architecture Of the Proposed Qr Decomposition Modulementioning

confidence: 99%

“…Here, the processing unit can be speeded up employing compact CORDIC architecture [11], where successive vectoring and rotation modes of operation are combined. The QR decomposition architecture based on LC-CGR is presented in Fig.…”

Section: B Lc-cgr-based Approachmentioning

confidence: 99%

High-speed tournament givens rotation-based QR Decomposition Architecture for MIMO Receiver

Lee

Yoon

2012

2012 IEEE International Symposium on Circuits and Systems

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“…For an example, Q ZI.1 -1 of i th CORDIC iteration generated by HH and MD algorithms are presented as (12) and (13) The analysis of 3 different equations are given as Table I, where N denotes the number of CORDIC iterations, M = N(N+1). Based on that, the proposed QRD approach, firstly, makes the optimal algorithm selection to implement Q ZI.1 -1 .…”

Section: B the Proposed Qrd Approachmentioning

confidence: 99%

“…The cycle means latency of the unit CORDIC module. The Com represents the compact CORDIC module [12], which perform Q RT.1 matrix multiplications are performed in cycle 2, 4 and 6 using CORDIC modules implemented by MD, HH and GR algorithm, respectively. In the cycle 7, the complex valued 4 th row and 4 th column element is converted to a real number by using vectoring mode of CORDIC module.…”

Section: The Proposed Qrd Architecturementioning

confidence: 99%

A low-complexity composite QR decomposition architecture for MIMO detector

Yoon

Shin

2014

2014 IEEE International Symposium on Circuits and Systems (ISCAS)

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This paper presents a low complexity QR decomposition (QRD) architecture for MIMO detector. In the proposed approach, various CORDIC-based QRD algorithms are efficiently combined together to reduce the computational complexity of the QRD hardware. Based on the computational complexity analysis on various QRD algorithms, a low complexity approach is selected at each stage of QRD process. The proposed QRD architecture can be applied to any arbitrary dimension of channel matrix, and the complexity reduction grows with the increasing matrix dimension. Our QR decomposition hardware was implemented using Samsung 0.13 technology. The numerical results show that the proposed architecture achieves 47% increase in the QAR (QRD Rate/Gate count) with 28.1% power savings over the conventional Householder CORDIC-based architecture for the 4 4 matrix decomposition.

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“…1(a) and (b), we can calculate the amplitude and argument of a given vector using the vectoring mode, and the sine and cosine values of the given angle using the rotation mode. If a system uses the rotation CORDIC right after the vectoring CORDIC for the calculation of sine or cosine value of given vectors, the two modes can be operated simultaneously using Compact CORDIC architecture which uses sign-bit sharing method [18]. Thus, it does not need to calculate the argument of given vector so that the look up table can be perfectly removed.…”

Section: Sign-select Lookahead Cordic Architecture 1 Conventionmentioning

confidence: 99%

Sign-Select Lookahead CORDIC based High-Speed QR Decomposition Architecture for MIMO Receiver Applications

Lee¹

2011

JSTS:Journal of Semiconductor Technology and Science

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Abstract-This paper presents a high-speed QR decomposition architecture for the multi-input-multioutput (MIMO) receiver based on Givens rotation. Under fast-varying channel, since the inverse matrix calculation has to be performed frequently in MIMO receiver, a high performance and low latency QR decomposition module is highly required. The proposed QR decomposition architecture is composed of Sign-Select Lookahead (SSL) coordinate rotation digital computer (CORDIC). In the SSL-CORDIC, the sign bits, which are computed ahead to select which direction to rotate, are used to select one of the last iteration results, therefore, the data dependencies on the previous iterations are efficiently removed. Our proposed QR decomposition module is implemented using TSMC 0.25 µm CMOS process. Experimental results show that the proposed QR architecture achieves 34.83% speed-up over the Compact CORDIC based architecture for the 4 × 4 matrix decomposition.

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A Residual Frequency Offset Synchronization Scheme Using a Simplified CORDIC Algorithm in OFDM Systems

Cited by 5 publications

References 5 publications

High-speed tournament givens rotation-based QR Decomposition Architecture for MIMO Receiver

High-speed tournament givens rotation-based QR Decomposition Architecture for MIMO Receiver

A low-complexity composite QR decomposition architecture for MIMO detector

Sign-Select Lookahead CORDIC based High-Speed QR Decomposition Architecture for MIMO Receiver Applications

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