A Non-Iterative Technique for Phase Noise ICI Mitigation in Packet-Based OFDM Systems

Rabiei, Payam; Namgoong, Won; Al-Dhahir, Naofal

doi:10.1109/tsp.2010.2057250

Cited by 65 publications

(77 citation statements)

References 10 publications

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“…Regarding the joint phase noise and channel estimation, there are basically two ways for this problem: time-domain [11]- [13], [17], [18] and frequency-domain approaches [8], [14], [15]. In this paper, we formulate the optimization problem in the time-domain representation and our contributions are as follows.…”

Section: Introductionmentioning

confidence: 99%

Effective Low-Complexity Optimization Methods for Joint Phase Noise and Channel Estimation in OFDM

Wang

Babu

Palomar

2017

IEEE Trans. Signal Process.

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Phase noise correction is crucial to exploit full advantage of orthogonal frequency division multiplexing (OFDM) in modern high-data-rate communications. OFDM channel estimation with simultaneous phase noise compensation has therefore drawn much attention and stimulated continuing efforts. Existing methods, however, either have not taken into account the fundamental properties of phase noise or are only able to provide estimates of limited applicability owing to considerable computational complexity. In this paper, we have reformulated the joint estimation problem in the time domain as opposed to existing frequency-domain approaches, which enables us to develop much more efficient algorithms using the majorizationminimization technique. In addition, we propose a method based on dimensionality reduction and the Bayesian Information Criterion (BIC) that can adapt to various phase noise levels and accomplish much lower mean squared error than the benchmarks without incurring much additional computational cost. Several numerical examples with phase noise generated by free-running oscillators or phase-locked loops demonstrate that our proposed algorithms outperform existing methods with respect to both computational efficiency and mean squared error within a large range of signal-to-noise ratios.Index Terms-Carrier frequency offset (CFO), channel estimation, majorization-minimization (MM), orthogonal frequency division multiplexing (OFDM), phase noise.

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Section: Introductionmentioning

confidence: 99%

Effective Low-Complexity Optimization Methods for Joint Phase Noise and Channel Estimation in OFDM

Wang

Babu

Palomar

2017

IEEE Trans. Signal Process.

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“…The optical fiber nonlinearity is not considered here in order to focus on the impact of the phase noise, which is consistent with the analysis described in other previous studies [3,9]. The phase noise    for    ⋯    is modeled as an Wiener process with variance , where  is the laser linewidth and  is the sample period [10]. In the absence of phase noise and AWGN, we have…”

Section: System Modelmentioning

confidence: 85%

“…2. This is the optimum mean square error (MSE) interpolation for the phase noise [10]. The phase-compensated signal, denoted by    , is given by…”

Section: System Modelmentioning

confidence: 99%

A Feedforward Partial Phase Noise Mitigation in the Time-Domain using Cyclic Prefix for CO-OFDM Systems

Ha¹,

Chung²

2013

Journal of the Optical Society of Korea

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We propose a blind feedforward phase noise mitigation method in the time-domain for a coherent optical orthogonal frequency division multiplexing (CO-OFDM) systems. By exploiting the redundancy of the cyclic prefix (CP), the proposed scheme acquires the overall phase noise difference information during an OFDM block and attempts to mitigate the phase noise in the time domain using a linear approximation. The proposed algorithm mitigates common phase error (CPE) and inter-carrier-interference (ICI) due to phase noise simultaneously, improving the system performance, especially when decision-directed equalizers are used. The simulation results demonstrate the effectiveness of the proposed feedforward phase noise mitigation approach in time domain.

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“…Higher order modulation schemes with SM increase the link throughput, but require high SNR to achieve low packet error rates (PER). Space time block coding (STBC) provides strong diversity gain, but cannot increase the link throughput without the use of Adaptive Modulation and Coding (AMC) [5], and therefore AMC has become a standard approach in recently developed wireless standards, including WiMAX. The idea behind AMC is to dynamically adapt the modulation and coding scheme to the channel conditions so as to achieve the highest spectral efficiency at all times.…”

Section: Introductionmentioning

confidence: 99%

BER Analysis with Adaptive Modulation Coding in MIMO-OFDM for WiMAX using GNU Radio

Reddy¹,

Boppana²

2014

IJWMT

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This paper explores how MIMO increases channel capacity and how the fundamental characteristics of a MIMO system can create significant test challenges. Spatial modulation (SM) is the latest developed modulation method in the field of communication. The latest research on this shows that SM is useful to achieve the multiplexing gain for the single antenna system, this avoids the inter-channel interference but the spatial modulation is inherently unable to get transmit-diversity. In other words, SM is a novel modulation technique which combines the high multiplexing gain provided by the spatial modulation and transmit-diversity gain, given by the space time block codes (STBCs) technology. Different space-time block coding (STBC) schemes including Alamouti's STBC for 2 transmit antennas as well as orthogonal STBC (OSTBC) for 3 and 4 transmit antennas are explored. The result of using these MIMO techniques is higher data rate or longer transmit range without requiring additional bandwidth or transmit power. This paper presents a detailed study of diversity coding for MIMO systems. In addition, adaptive modulation and coding (AMC) technique in conjunction with MIMO techniques constitute a technological breakthrough that greatly helps in satisfying the ever increasing demands of wireless networks. This paper presents a performance study of Mobile WiMAX networks based on MIMO and AMC perspectives. It also describes how to implement WiMAX PHY with MIMO on software defined radio (SDR) experimental setup with the help of USRP N210 as hardware and GNU Radio as software platforms.

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A Non-Iterative Technique for Phase Noise ICI Mitigation in Packet-Based OFDM Systems

Cited by 65 publications

References 10 publications

Effective Low-Complexity Optimization Methods for Joint Phase Noise and Channel Estimation in OFDM

Effective Low-Complexity Optimization Methods for Joint Phase Noise and Channel Estimation in OFDM

A Feedforward Partial Phase Noise Mitigation in the Time-Domain using Cyclic Prefix for CO-OFDM Systems

BER Analysis with Adaptive Modulation Coding in MIMO-OFDM for WiMAX using GNU Radio

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