A method for narrowband interference mitigation in OFDM by minimizing spectral leakage

Pande, Tarkesh; Kim, Il Han; Batra, A.

doi:10.1109/isplc.2015.7147583

Cited by 10 publications

(12 citation statements)

References 9 publications

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“…In order to illustrate the performance of the proposed multiple interacting NBIs suppression algorithm, Fig. 11 shows a comparison of BER between the proposed algorithm and the LT-IA algorithm proposed in [21] for two single-tone interferences with different frequency distances. It can be seen that when d = 50, the performance of the proposed algorithm is slightly better than that of the LT-IA algorithm.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…According to (21), performing CZT on (7) in 1 to obtain the refined spectrum in this frequency band, that is:…”

Section: A Multiple Interacting Nbis Frequence Estimationmentioning

confidence: 99%

“…Ignoring the signal and noise, the received signal after the time domain sampling in (7) can be rewritten as: (28) where i 1 (n) and i 2 (n) are the time-domain sampling signals of two single-tone interferences, respectively. According to (21), if the CZT is performed directly on the received signal without any other processing, we can get: (29) where I CZT 1 (k) and I CZT 2 (k) are the CZT results of the two single-tone interferences, respectively. From the previous analysis, when the frequency distance between two interferences is small, the interference frequency estimation based on the spectral peak point of the synthesized spectrum |I CZT (k)| will result in inaccurate estimates due to the interaction of interferences.…”

Section: A Multiple Interacting Nbis Frequence Estimationmentioning

confidence: 99%

“…However, it is difficult to obtain stable interference suppression performance by a single and fixed window. In [21], it proposes an improved frequency domain zeroing NBI suppression algorithm based on interference alignment. In order to reduce the spectral leakage of NBI, it moves the NBI to a position orthogonal to the OFDM subcarrier through a spectrum shift method, and then zeros the NBI in the frequency domain.…”

Section: Introductionmentioning

confidence: 99%

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Multiple Interacting Narrowband Interferences Suppression Algorithm for OFDM Systems

Zhang

Liu

et al. 2020

IEEE Access

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The OFDM technology is widely used in wireless communication systems, but it is highly sensitive to narrowband interference (NBI). The existing NBI suppression algorithms are mainly for single NBI or multiple NBIs with an assumption that the frequency distance of the multiple NBIs is large enough. However, in reality, there are more and more multiple interacting NBIs with small frequency distance, such as NB-IoT. Unfortunately, due to the interaction of multiple NBIs, the performance of existing NBI suppression algorithms is degraded. Aiming at this problem, we propose a multiple interacting NBIs suppression algorithm jointed time-frequency domain for OFDM systems. First, in order to achieve a high-precision and low-complexity frequency estimate for a single NBI, an interference frequency estimation method based on chirp-z transform (CZT-IFE) is studied. Then, for multiple interacting NBIs, based on the analysis of NBI frequency distance and spectral aliasing, a highly robust interference frequency estimation method combining IIR notch filter and CZT-IFE (NF-CZT-IFE) is given. It eliminates the interaction of multiple NBIs and obtains the accurate frequency estimates of the NBIs. Finally, based on NF-CZT-IFE, the multiple interacting NBIs are suppressed by using IIR notch filters. Simulation results demonstrate that the proposed multiple interacting NBIs suppression algorithm has better interference suppression performance on the NBIs with different frequency distances and different interference numbers. The proposed algorithm improves the robustness of OFDM systems in complex NBI environments.

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Section: Simulation Resultsmentioning

confidence: 99%

“…According to (21), performing CZT on (7) in 1 to obtain the refined spectrum in this frequency band, that is:…”

Section: A Multiple Interacting Nbis Frequence Estimationmentioning

confidence: 99%

Section: A Multiple Interacting Nbis Frequence Estimationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Multiple Interacting Narrowband Interferences Suppression Algorithm for OFDM Systems

Zhang

Liu

et al. 2020

IEEE Access

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“…Recently, a novel approach for doing NBI cancellation was proposed in [2]. The method involved intentionally introducing intercarrier interference (ICI) at the receiver such that the spectral leakage due to the NBI was minimized followed by an erasure of the NBI and finally a correction of the ICI.…”

Section: Introductionmentioning

confidence: 99%

SINR Analysis of a Narrowband Interference Cancellation Scheme in OFDM Communication Systems

Kim

Pande

2015

2015 IEEE Global Communications Conference (GLOBECOM)

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Narrowband interference (NBI) is a significant impairment for multi-carrier modulation systems in both wireless and wireline channels. NBI may be generated by switching power supplies and legacy communication systems, and in many instances may be tonal in nature [1]. Recently, a novel method for mitigating the effect of NBI was proposed in [2] which works on minimizing the NBI spectral leakage by downconvering, nulling, and upconverting the received signal. In this paper we address the key question of how the algorithm performs as the number of interferers scales. We perform a distortion analysis on the received signal and obtain the following results under the assumption of an idealized analog front end: a) the distortion scales linearly with the number of interferers b) the distortion is independent of interferer frequency and amplitude. We also carry out a signal-to-interference noise ratio (SINR) analysis of the proposed algorithm and show a good match between theory and simulation results.

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Improving Soft Decoding by Spectral Leakage Reduction in Presence of Narrow Band Interference in PLC

et al. 2019

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Communications over power lines (PLC) is a promising technology for a variety of applications. The use of a single network for power and data transmission with PLC provides weight, space, and cost savings for vehicular communications. Current work focuses on broadband PLC (BPL) systems compliant with the IEEE 1901 standard. Given that transmissions occur on a physical medium not designed for data communication, the channel and noise characteristics are mostly unfavorable. To deal with these conditions, turbo codes have been widely employed due to their high performance. However, their performance strongly depends on the accuracy of the noise estimation. This work addresses the estimation of the noise power spectral density (PSD) to perform soft-decoding. A general background noise (GBN) model and a narrowband interference (NBI) model is considered. To the best of our knowledge, this is the first work that analyzes the effects of the NBI leakage on noise estimation when it is performed during the reception of the data frame. We propose the use of the frame control (FC) symbol to reduce interference leakage on noise estimation. In addition, we investigate the use of payload symbols to further reduce spectral leakage. Finally, we show that system performance considerably improves by using the FC-based estimation in soft-decoding procedures. INDEX TERMS Frame control symbol, IEEE Std. 1901, narrowband interference, noise power spectral density estimation, soft-decoding, spectral leakage. I. INTRODUCTION Data communication over power lines is a promising technology for a variety of applications. At the turn of the century, power line communications (PLC) received a renewed interest driven by the increased popularity of Automatic Meter Reading (AMR) systems, Smart Grids and building automation [1]. As a result of this development a variety of standards emerged between 2010 and 2013 [2]-[5]. Specifically, technical advances in broadband PLC (BPL) systems enable a variety of applications besides AMR due to its higher data rate compared to older PLC systems. This work focuses on PLC systems operating in the 1.8-50 MHz range compliant with the IEEE 1901 Std. [2]. The associate editor coordinating the review of this manuscript and approving it for publication was Andrea M. Tonello.

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A method for narrowband interference mitigation in OFDM by minimizing spectral leakage

Cited by 10 publications

References 9 publications

Multiple Interacting Narrowband Interferences Suppression Algorithm for OFDM Systems

Multiple Interacting Narrowband Interferences Suppression Algorithm for OFDM Systems

SINR Analysis of a Narrowband Interference Cancellation Scheme in OFDM Communication Systems

Improving Soft Decoding by Spectral Leakage Reduction in Presence of Narrow Band Interference in PLC

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