• Journal of Positioning, Navigation, and Timing
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• 제1권1호
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• pp.15-21
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• 2012

For a GNSS receiver's robustness against RFI and the high accuracy of navigation solution in GNSS, interference source detection and mitigation are needed. In this paper, an adaptive lattice IIR notch filter is employed to track single-tone continuous wave and swept continuous wave interference signals, and an interference detection method is proposed. Furthermore, this paper presents interference source characterization algorithm using multiple ground stations' interference detection results. The measurement of the signal powers from each ground station is used to build weighting factors to estimate the type of the interference. The performance of interference detection algorithm is simulated for scenarios of GPS signal in the presence of single-tone continuous wave interference and swept continuous wave interference.

• Journal of Communications and Networks
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• 제18권2호
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• pp.210-217
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• 2016

In this paper, we propose a low complexity multiple-input multiple-output (MIMO) detection algorithm with adaptive interference mitigation in downlink multiuser MIMO (DL MU-MIMO) systems with quantization error of the channel state information (CSI) feedback. In DL MU-MIMO systems using the imperfect precoding matrix caused by quantization error of the CSI feedback, the station receives the desired signal as well as the residual interference signal. Therefore, a complexMIMO detection algorithm with interference mitigation is required for mitigating the residual interference. To reduce the computational complexity, we propose a MIMO detection algorithm with adaptive interference mitigation. The proposed algorithm adaptively mitigates the residual interference by using the maximum likelihood detection (MLD) error criterion (MEC). We derive a theoretical MEC by using the MLD error condition and a practical MEC by approximating the theoretical MEC. In conclusion, the proposed algorithm adaptively performs interference mitigation when satisfying the practical MEC. Simulation results show that the proposed algorithm reduces the computational complexity and has the same performance, compared to the generalized sphere decoder, which always performs interference mitigation.

• International Journal of Aeronautical and Space Sciences
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• 제13권4호
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• pp.491-498
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• 2012

A Ground Based Augmentation System (GBAS) is an enabling technology for an aircraft's precision approach based on a Global Navigation Satellite System (GNSS). However, GBAS is vulnerable to interference, so effective GNSS interference detection and mitigation methods need to be employed. In this paper, an intentional GNSS interference detection and characterization algorithm is proposed. The algorithm uses Automatic Gain Control (AGC) gain and adaptive notch filter parameters to classify types of incoming interference and to characterize them. The AGC gain and adaptive lattice IIR notch filter parameter values in GNSS receivers are examined according to interference types and power levels. Based on those data, the interference detection and characterization algorithm is developed and Monte Carlo simulations are carried out for performance analysis of the proposed method. Here, the proposed algorithm is used to detect and characterize single-tone continuous wave interference, swept continuous wave interference, and band-limited white Gaussian noise. The algorithm can be used for GNSS interference monitoring in an excessive Radio Frequency Interference environment which causes loss of receiver tracking. This interference detection and characterization algorithm will be used to enhance the interference mitigation algorithm.

• Journal of Information Processing Systems
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• 제17권5호
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• pp.933-946
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• 2021

In the non-orthogonal multiple access (NOMA) system, multiple user signals on the single carrier are superimposed in a non-orthogonal manner, which results in the interference between non-orthogonal users and noise interference in the channel. To solve this problem, an improved algorithm combining regularized zero-forcing (RZF) precoding with minimum mean square error-serial interference cancellation (MMSE-SIC) detection is proposed. The algorithm uses RZF precoding combined with successive over-relaxation (SOR) method at the base station to preprocess the source signal, which can balance the effects of non-orthogonal inter-user interference and noise interference, and generate a precoded signal suitable for transmission in the channel. At the receiver, the MMSE-SIC detection algorithm is used to further eliminate the interference in the signal for the received superimposed signal, and reduce the calculation complexity through the QR decomposition of the matrix. The simulation results show that the proposed joint detection algorithm has good applicability to eliminate the interference of non-orthogonal users, and it has low complexity and fast convergence speed. Compared with other traditional method, the improved method has lower error rate under different signal-to-interference and noise ratio (SINR).

• 대한전자공학회논문지TE
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• 제39권3호
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• pp.51-58
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• 2002

CDMA(Code Division Multiple Access) 방식은 사용자가 증가함에 따라 다중 사용자 간섭(Multiuser Interference)에 의해 통화품질 향상 및 가입자 수용 용량 증대에 한계를 가지고 있다. 이러한 문제를 극복하기 위해 다양한 형태의 다중 사용자 간섭 제거 알고리즘이 제안되고 있다. 다중 사용자 검파 알고리즘에는 기존 검파기의 출력에 선형 변환을 적용하여 간섭신호를 제거하는 선형 다중 사용자 검파 계열과 간섭신호를 추정하여 제거하는 감산 간섭 제거 계열이 있다. 그러나 선형 다중 사용자 검파(Linear Multiuser Detection) 계열은 역행렬을 구해야 하는 단점을 가지고 있기 때문에 감산 간섭 제거(Subtractive Interference Cancellation) 계열이 많은 관심을 받고 있다. 그 중에서도 연속 간섭 제거 알고리즘(Successive Interference Cancellation：SIC)은 하드웨어 구조가 간단한 반면에 사용자가 늘어날수록 지연 시간이 늘어나는 단점을 가지고 있고, 병렬 간섭 제거 알고리즘(Parallel Interference Cancellation:PIC)은 성능은 좋은 반면에 복잡도가 다른 알고리즘에 비하여 높은 단점을 가지고 있다. 그러므로, SIC 와 PIC 의 혼합구조 형태의 알고리즘을 제안하여 하드웨어가 간단하면서 좋은 성능을 보이는 두 알고리즘의 장점을 취하였다. 또한 제안된 알고리즘을 AWGN 환경에서의 성능 분석을 하였고, 컴퓨터 모의 실험을 통하여 AWGN과 Rayleigh 페이딩 환경에서의 다른 알고리즘과의 성능 비교를 하였다. 성능 비교 결과, 혼합구조 알고리즘은 SIC 알고리즘에 비해서는 지연 시간이 적고, PIC 알고리즘에 비해서는 복잡도를 줄일 수 있다.

• 한국정보통신학회논문지
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• 제10권1호
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• pp.42-48
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• 2006

본 논문에서는 차세대 복합 시분할 부호분할 다중접속 이동통신 시스템에서 타 셀 사용자 간섭 제거를 위한 결합검출 방안을 제안한다. 결합검출 기술은 차세대 복합 시분할 부호분할 다중접속 이동통신 시스템 TD-CDMA 시스템에서의 가장 큰 특징이라 할 수 있는 기술로서 셀 내의 서로 다른 사용자의 신호 간섭을 제거하여 동시에 사용자 데이터를 복원할 수 있다. 종래의 연구에서는 2단계 결합 검출 방식을 이용하여 목적 셀의 사용자 간섭 뿐 아니라 타 셀 간섭을 제거해 줄 수 있는 방안이 제안되었으나 이 방안에서는 타 셀 간섭 제거를 위한 구체적인 사용자 인식에 대한 방안이 없다. 따라서 주변 타 셀 내의 사용자의 간섭의 크기에 상관없이 모든 사용자에 대하여 결합검출을 수행해야 하며 2단계 결합검출의 복잡도가 매우 높다. 본 논문에서는 타 셀 사용자의 간섭의 크기에 따라서 선택적으로 2단계 결합 검출을 수행하는 방안을 제안한다. 제안된 방식은 모의실험을 통하여 성능을 조사하였으며 종래의 결합검출 방식에 비하여 성능의 열화가 없는 동시에 2 단계 결합검출의 복잡도를 크게 줄일 수 있다.

• 한국전자파학회논문지
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• 제25권4호
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• pp.434-441
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• 2014

최근 군용 레이다 사용이 급증하면서 인접 시스템 상호 간의 전자파 간섭의 영향이 높아지고 있다. 본 논문에서는 레이다의 효율적인 운용을 위하여 국제 표준화 규정에 근거하여 군 무기체계 레이다의 탐지거리 및 탐지확률에 미치는 영향을 분석하여 상호운용에 대한 간섭 보호 기준을 제안한다. 레이다 상호 간 간섭이 존재 할 경우에도 요구 탐지거리 및 탐지확률을 확보하기 위한 허용 INR을 제시하였으며, 특히 INR이 -6 dB인 경우 5 %의 탐지거리 손실을 허용하는 조건에서 최대 탐지확률을 확보하기 위한 SNR을 시뮬레이션을 통하여 결과를 제시하였다. 향후 군 통합무기 체계에서 레이다 상호간의 간섭의 영향에 대한 보호기준을 정립하는데 활용될 것으로 기대한다.

• 제어로봇시스템학회논문지
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• 제22권9호
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• pp.723-732
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• 2016

This paper proposes an approach to fused navigation of an unmanned surface vehicle(USV) and to detection of the outlier or interference of global positioning system(GPS). The method fuses available sensor measurements through extended Kalman filter(EKF) to find the location and attitude of the USV. The method uses error covariance of EKF for detection of GPS outlier or interference. When outlier or interference of the GPS is detected, the method excludes GPS data from navigation process. The measurements to be fused for the navigation are GPS, acceleration, angular rate, magnetic field, linear velocity, range and bearing to acoustic beacons. The method is tested through simulated data and measurement data produced through ground navigation. The results show that the method detects GPS outlier or interference as well as the GPS recovery, which frees navigation from the problem of GPS abnormality.

• 대한임베디드공학회논문지
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• 제12권1호
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• pp.43-62
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• 2017

Mobile pulse scanning Light Detection And Ranging (LIDAR) are essential components of intelligent vehicles capable of autonomous travel. Obstacle detection functions of autonomous vehicles require very low failure rates. With the increasing number of autonomous vehicles equipped with scanning LIDARs to detect and avoid obstacles and navigate safely through the environment, the probability of mutual interference becomes an important issue. The reception of foreign laser pulses can lead to problems such as ghost targets or a reduced signal-to-noise ratio. This paper will show the probability that any two scanning LIDARs will interfere mutually by considering spatial and temporal overlaps. We have conducted four experiments to investigate the occurrence of the mutual interference between scanning LIDARs. These four experimental results introduced the effects of mutual interference and indicated that the interference has spatial and temporal locality. It is hard to ignore consecutive mutual interference on the same line or the same angle because it is possible the real object not noise or error. It may make serious faults because the obstacle detection functions of autonomous vehicle rely on heavily the scanning LIDAR.

• 한국표면공학회지
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• 제55권3호
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• pp.156-163
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• 2022

An ammonium ion with a size and charge similar to that of potassium can bind to valinomycin, which is used as an ion carrier for potassium, and cause a meaningful interference effect on the detection of potassium ions. Currently, there are few ion sensors that correct the interference effect of ammonium ions, and there are few studies that specifically suggest the mechanism of the interference effect. By fabricating a SPCE-based potassium ion-selective electrode, the electromotive force was measured in the concentration range of potassium in the nutrient solution, and the linear range was measured to be 10^-5 to 10^-2 M, and the detection limit was 10^-5.19 M. And the interference phenomenon of the potassium sensor was investigated in the concentration range of ammonium ions present in the nutrient solution. Therefore, a data-based analysis strategy using deep learning was presented as a method to minimize the interference effect.