• Proceedings of the IEEK Conference
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• 2000.09a
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• pp.225-228
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• 2000

본 논문에서는 2차의 격자 IIR 노치 필터를 이용하여DS-CDMA 시스템에서 협대역 간섭신호를 제거한다. 본 노치필터는 구조가 간단하고 다양한 간섭 신호 모델에 따라 필터의 계수를 조절할 수 있어 간섭신호의 효과적인 제거가 가능하다. 노치필터의 앞단에는 주파수 추정부를 평행하게 구성하여 간섭신호 주파수의 위치와 파워를 검출한다. 제안된 적응 필터링 알고리듬은 이러한 정보를 이용하여 노치필터의 주파수를 조절하고 간섭 신호의 파워와 대역폭에 따라 노치의 넓이와 깊이를 조절한다. 즉, IIR 노치 필터의 특성을 이론적으로 분석하여 출력 신호대 잡음비를 입력과 필터의 파라미터에 관한 수식으로 유도하였고 이를 이용하여 주어진 입력에 따른 최적의 필터 파라미터를 구하여 적용시키는 것이다. 입력의 간섭 주파수와 파워를 검출하는 방법에는 여 러가지가 있지만 본 논문에서는 비교적 간단한 IIR ALE[6]를 사용하였다. 제안된 알고리듬을 사용한 결과 신호대 잡음비와 에러율에 있어서 FIR 필터를 사용한 기존의 방법[4]에 비하여 좋은 성능을 보임을 알 수 있다.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.44 no.3
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• pp.58-63
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• 2007

GPS signal is vulnerable to intentional and unintentional interferences since it has a very weak signal power and its structure is well-known. Among the interference rejecting techniques, the ATF is being generally used as a pre-correlation technique. However, it does not have a design parameter relating to the notch width, resulting in the spectral loss around frequency of the interference. The IIR notch filter has a design parameter relating to the notch width and can generate a sharp notch for the CW interference. In this paper, an adaptive IIR notch filter is proposed and the performance is evaluated using software signal generator and real measurements.

• The Transactions of the Korean Institute of Power Electronics
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• v.11 no.3
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• pp.274-283
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• 2006

The Permanent Magnet Synchronous Motor(PMSM) drive systems with ball-screw, gear and timing-belt are widely used in industrial applications such as NC machine, machine tools, robots and factory automation. These systems have torsional vibration in torque transmission from servo motor to mechanical load due to the mechanical couplings. This vibration makes it difficult to achieve quick responses of speed and may result in damage to the mechanical plant. This paper presents adaptive notch filter with auto searching function of vibration frequency to reject the mechanical vibration of linear feeder system with PMSM. The proposed adaptive notch filter can suppress the torque command signal of PMSM in the resonant bandwidth for reject the mechanical torsional vibration. However, the resonant frequency can vary with conditions of mechanical load system and coupling devices, adaptive notch filter can auto search the vibration frequency and suppress the vibration signal bandwidth. Computer simulation and experimental results shows the verification of the proposed adaptive notch filter in linear feeder system with PMSM.

• Journal of the Institute of Convergence Signal Processing
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• v.20 no.1
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• pp.45-50
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• 2019

When PPG signal is used in mobile healthcare devices, the accuracy of the measured heartbeat decreases from the influence by the movement of the user. The reason is that the frequency band of the noise overlaps the frequency band of the PPG signal. In order to remove these same noises, the methods using frequency analysis method or application of acceleration sensor have been investigated and showed excellent performance. However, in applying these methods to low-cost healthcare devices, it is difficult to apply these methods because of much processing time and sensor's cost. In order to solve these problems, this study proposed the filter design method using an adaptive notch filter and the fuzzy inference system to extract more accurate heart rate in real time and evaluated its performance. As results, it showed better results than the other methods. Based on the results, when applying the proposed method to design the mobile healthcare device, it is possible to measure the heartbeat more accurately in real time.

• Composites Research
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• v.14 no.1
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• pp.39-46
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• 2001

Experimental studies on the adaptive multi-mode vibration control of composite beams have been performed using neuro-controller. Neuro-controllers require too much computational burden, which blocks wide real-time applications of neuro-controllers. Therefore, in this paper, an adaptive notch filter is proposed to separate a vibration signal into each modal vibration signal. Two neuro-controllers with fewer weights are connected to the corresponding modal signals to generate proper modal control forces. The vibration controls using the adaptive notch filter and neuro-controllers have been performed for two specimens. A and B, which have different natural frequencies because of different positions of tip masses. Significant vibration reduction has been observed in both cases. The vibration control results show that the present neuro-controller has good adaptiveness under the system parameter variations.

• Proceedings of the KIPE Conference
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• 2014.11a
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• pp.131-134
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• 2014

PMSM(Permanent Magnet Synchronous Motor)은 가공기, 로봇, 공장 자동화 등 현재까지도 산업 시스템 전반에 널리 쓰이고 있으며, 그에 대한 연구도 활발히 진행되고 있다. 하지만 PMSM에 부하를 인가하거나 혹은 기계 몸체와의 결합 과정에서 기구부가 가지고 있는 고유진동 주파수에 의해 동력 전달 부분에 있어 기계계의 응답 특성은 불안정해지고, 떨림 현상이 발생된다. 본 논문에서는 PMSM을 이용한 회전 운동 시스템에서 출력되는 전류에 기구부가 가지고 있는 특정 영역의 고유진동 주파수를 제거한 전류를 적응 노치필터를 통해 내보낸다. 그 결과 기계부의 떨림 현상을 제거하고, 안정적인 제어 시스템을 제안한다. 이 제어알고리즘을 가상실험으로 필터 통과 전과 후의 결과를 비교 및 분석하도록 한다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.19 no.10
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• pp.2053-2063
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• 1994

Recently, there has been much interest in the terrestrial broadcasting of the HDTV signal. However, in the Simulcast where the NTSC and HDTV signal are transmitted using the same channel, the cochannel interference occurs which degrade the transmission performance. Recently, the GA(Grand Alliance) proposed the cochannel interference rejection system which use comb filter. However, this method shows poor performance for the NTSC carrier variation [7]. In this paper we propose a novel NTSC cochannel interference rejection system which shows improved performance for the NTSC carrier variation. In the proposed scheme, the adaptive notch filter is employed along with adaptive channel equalizer. In this paper, we also present some analytical results on the NTSC rejection performance of the GA and proposed scheme. Computer simulation results reveal that the proposed scheme outperforms order outperforms order of 10 in the BER(bit error rate) sense for the normal condition.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.10 no.5
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• pp.435-441
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• 2017

Detecting an inter-harmonic accurately is not easy work, because it has small magnitude, and its frequency which can be observed is not an integer multiple of fundamental frequency. In this paper, a new method using filter bank system and adaptive predictor is proposed. Filter bank system decomposes input signal to sub bands. In adaptive predictor, inter-harmonic is detected with decomposed sub band signal as input, and error signal as output. In this scheme, input-output characteristic of adaptive predictor is notch filter, as predicted harmonic is canceled in error signal, so detecting an inter-harmonic can be possible. Magnitude and frequency of detected inter-harmonic is estimated by recursive algorithm. The performances of proposed method are evaluated to sinusoidal signal model synthesized with harmonics and inter-harmonics. And validity of the method is proved as comparing the inter-harmonic detection results to MUSIC and ESPRIT.

• Journal of Biomedical Engineering Research
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• v.25 no.4
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• pp.315-321
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• 2004

In this study, we proposed an adaptive feedback cancellation algorithm for multi-band digital healing aids. The adaptive feedback canceller (AFC) is composed of an adaptive notch filter (ANF) for feedback detection and an NLMS (normalized least mean square) adaptive filter for feedback cancellation. The proposed feedback cancellation algorithm is combined with a multi-band hearing aid algorithm which employs the MDCT (modified discrete cosine transform) filter bank for the frequency-dependent compensation of hearing losses. The proposed algorithm together with the MDCT-based multi-channel hearing aid algorithm has been evaluated via computer simulations and it has also been implemented on a commercialized DSP board for real-time verifications.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.27 no.7A
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• pp.651-658
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• 2002

Although least mean square(LMS) algorithm is known to one of the most popular algorithm in adaptive signal processing because of the simplicity and the small computation, the choice of the step size reflects a tradeoff between the misadjustment and the speed of adaptation. In this paper, we present a new variable step size LMS algorithm, so-called ECLMS(Estimated correlation LMS), using the correlation between reference input and error signal of adaptive filter. The proposed algorithm updates each weight of filter by different step size at same sample time. We applied this algorithm to adaptive multiple-notch filter. Simulation results are presented to compare the performance of the proposed algorithm with the usual LMS algorithm and another variable step algorithm.