Preamble Designs for Efficient Joint Channel and Frequency-Selective I/Q-Imbalance Compensation in MIMO OFDM Systems

Luo, Jian; Keusgen, Wilhelm; Kortke, Andreas

doi:10.1109/wcnc.2010.5506117

Cited by 6 publications

(12 citation statements)

References 12 publications

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“…Equation (14) can be rewritten in different matrix equations for all possible antenna diversity or spatial multiplexing schemes according to [19]. Based on these matrix equations, various equalization techniques, for example, zero forcing and MMSE, can be used to recover the original data symbols.…”

Section: Compensation Of Cfo Frequency-selective I/q-imbalance and mentioning

confidence: 99%

“…. , −1, which is constructed according to the frequency domain separation (FDS) design in [19] and varies for different Tx antennas. To distinguish the preamble from the data signals, all signals in Figure 4 are extended with the notation (• ).…”

Section: Preamble Designmentioning

confidence: 99%

“…Since 3-fold repetition is applied, we should minimize the length of the basic sequence, , to minimize the preamble overhead. To apply the FDS design in [19],̇(…”

Section: Preamble Designmentioning

confidence: 99%

“…The number of null subcarriers in the basic sequence is 0, = ⌈ / ⌉, while the number of active subcarriers is , = − 0, . Now, the active subcarriers can be allocated to different Tx antennas according to the FDS design in [19]. We denote by I in |I | = the index set of the allocated subcarriers for the ith Tx.…”

Section: Journal Of Electrical and Computer Engineeringmentioning

confidence: 99%

“…(ii) When designing the preamble, the orthogonality between different Tx antennas as well as between direct and image channels (see [19]) is taken into account, allowing better estimation accuracy than [11,15].…”

Section: Introductionmentioning

confidence: 99%

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Efficient Joint Estimation and Compensation of CFO, Tx/Rx Frequency-Selective I/Q Imbalance, and the MIMO Radio Channel in OFDM Systems

Luo

Keusgen

Kortke

2013

Journal of Electrical and Computer Engineering

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MIMO OFDM is a very promising technique for future wireless communication systems. By applying direct conversion architecture, low-cost, low-power, small size, and flexible implementation of MIMO OFDM systems can be realized. However, the performance of direct conversion architecture-based MIMO OFDM systems can be seriously affected by RF impairments incling carrier frequency offset (CFO) and I/Q-imbalance. While OFDM is sensitive to CFO, direct conversion architecture is sensitive to I/Q imbalance. Such RF impairments aggravate as the carrier frequency becomes higher for example, beyond 60 GHz. To achieve the desired high performance of MIMO OFDM, such RF impairments have to be compensated for. In this paper, the joint compensation of CFO, transmitter and receiver frequency-selective I/Q imbalance, and the MIMO radio channel is investigated. Two preamblebased schemes are proposed for impairment parameter estimation. The proposed preambles are constructed both in time and frequency domains and require much less overhead than the state-of-the-art designs. Furthermore, much lower computational complexity is allowed, enabling efficient implementation. The advantages and effectiveness of both proposed schemes are compared and verified by numerical simulations and complexity analysis.

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Section: Compensation Of Cfo Frequency-selective I/q-imbalance and mentioning

confidence: 99%

Section: Preamble Designmentioning

confidence: 99%

“…Since 3-fold repetition is applied, we should minimize the length of the basic sequence, , to minimize the preamble overhead. To apply the FDS design in [19],̇(…”

Section: Preamble Designmentioning

confidence: 99%

Section: Journal Of Electrical and Computer Engineeringmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Efficient Joint Estimation and Compensation of CFO, Tx/Rx Frequency-Selective I/Q Imbalance, and the MIMO Radio Channel in OFDM Systems

Luo

Keusgen

Kortke

2013

Journal of Electrical and Computer Engineering

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IQ imbalance estimation and compensation in space‐time block code multiple‐input/multiple‐output systems

Borakzaei

Saeedi-Sourck

Seydnejad

2021

Trans Emerging Tel Tech

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Direct‐conversion radio frequency transceivers are well‐substantiated structures for today's wireless communication systems due to their ability in complexity reduction, cost, and power consumption. The unavoidable mismatch between the in‐phase (I) and quadrature‐phase (Q) branch of the analog front‐ends in the direct‐conversion transceiver leads to degrading the performance of communication systems. In this article, we address the estimation and compensation of the IQ imbalance (IQI) parameters for both the transmitter (TX) and receiver (RX) in multiple‐input/multiple‐output systems with space‐time block code (STBC) in the digital domain. This article proposes a pre‐combiner estimation and compensation of the channel and the frequency‐independent IQI scheme based on the repetitive transmission of the pilot sequence using the least square technique. It is worth noting that the proposed method can be extended to any orthogonal STBC. Moreover, the study is applied to IQI in other scenarios including only TX and only RX. Simulation results show that the proposed method achieves better performance in comparison with the existing post‐combiner technique. Furthermore, the proposed method requires lower computational complexity when the number of receive antennas is limited.

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The IQ Imbalance Model

2013

SpringerBriefs in Electrical and Computer Engineering

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Preamble Designs for Efficient Joint Channel and Frequency-Selective I/Q-Imbalance Compensation in MIMO OFDM Systems

Cited by 6 publications

References 12 publications

Efficient Joint Estimation and Compensation of CFO, Tx/Rx Frequency-Selective I/Q Imbalance, and the MIMO Radio Channel in OFDM Systems

Efficient Joint Estimation and Compensation of CFO, Tx/Rx Frequency-Selective I/Q Imbalance, and the MIMO Radio Channel in OFDM Systems

IQ imbalance estimation and compensation in space‐time block code multiple‐input/multiple‐output systems

The IQ Imbalance Model

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