A Position Estimation Technique for Motion Compensation of Synthetic Aperture Radar

Lee, Haemin; Jung, Chang-Sik; Kim, Ki-Wan

doi:10.14801/jkiit.2020.18.5.65

Cited by 4 publications

(2 citation statements)

References 12 publications

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“…항공용 SAR 시스템에서의 실 시간 요동보상은 다음의 세 가지 과정을 통해 이루어지 도록 설계하는 것이 필요하다. GPS/INS 강결합 방식의 항법장치는 출력된 위치 정보 에 그림 9에서와 같이 GPS 보정에 의한 GPS jumping 현 상이 발생한다 [9] . 이런 GPS jumping 현상은 SAR 시스템 에서는 3차항 이상의 위상 오차로 나타난다.…”

Section: -2 Sar 신호 모델unclassified

Effective Method of Real-Time Motion Compensation for Airborne Synthetic Aperture Radar System

Kim,

Hwang,

Yoon

2022

J. Korean Inst. Electromagn. Eng. Sci.

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Aircraft inevitably experience motion caused by the flight environment in airborne synthetic aperture radar (SAR) systems. Therefore, motion compensation is essential. The real-time motion method is vital for high-resolution SAR image formation and onboard SAR signal processing. In this paper, an effective implementation scheme for a radar-timing signal generator is presented. This paper also describes a motion prediction method suitable for airborne SAR systems. The performance of the proposed real-time motion compensation scheme was evaluated using a captive flight test.

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Section: -2 Sar 신호 모델unclassified

Effective Method of Real-Time Motion Compensation for Airborne Synthetic Aperture Radar System

Kim,

Hwang,

Yoon

2022

J. Korean Inst. Electromagn. Eng. Sci.

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“…1 above about the golden receiver power status about it working principle. It is determined by two levels which describe below [15] [16]. First is the low level that noted by the 6dB to the actual the receiver and maximum of this value mentioned by -56dBm.…”

Section: B the Approximation Of Rssi Measurementsmentioning

confidence: 99%

Bluetooth-based WKNNPF and WKNNEKF Indoor Positioning Algorithm

Pheng¹,

Li²,

Xiao-nan³

et al. 2021

IJACSA

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Indoor Positioning System (IPS) in generally perform as a network of devices that always located the objects or people inside a building wirelessly. An IPS has direction relies nearby anchors and also can be entirely local to your smartphone. With the rapid growth and sharp increase in Indoor Positioning System (IPS) demand in the world, there are a lot of researchers trying to invent new algorithm to develop IPS. This paper proposed the Bluetooth-Base Indoor Positioning Algorithm. The RF characteristics such as RSSI and WLAN RSSI fingerprinting system normally formed by two phases, fist is offline phase and second is online phase. Fingerprinting system handling both off-line and online data and estimate the user's location. Our algorithm design is a collection of Weighted K-Nearest Neighbors (WKNN) and Filtering algorithms by KALMAN Filter. Finally, to avoid the problems of IPS and get a better accurate we proposed two algorithms: Weighted K-Nearest Neighbors Particle Filter (WKNNPF) and Weighted K-Nearest Neighbors Extended Kalman Filter (WKNNEKF) compare to KNN and WKNN result. After comparing we found that the result of WKNNPF and WKNNEKF is better result than KNN and WKNN. The Probability in 3M of WKNN is about 79%, WKNNEKF is about 89%, and WKNNPF is about 95.1%. Among one of the proposed algorithms WKNNPF is better than WKNNEKF on accuracy 1.7-2 meters with 42.2m/s response time.

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Bluetooth-Based WKNNPF and WKNNEKF Indoor Positioning Algorithm

Pheng

Luo

et al. 2021

2021 13th International Conference on Advanced Computational Intelligence (ICACI)

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A Position Estimation Technique for Motion Compensation of Synthetic Aperture Radar

Cited by 4 publications

References 12 publications

Effective Method of Real-Time Motion Compensation for Airborne Synthetic Aperture Radar System

Effective Method of Real-Time Motion Compensation for Airborne Synthetic Aperture Radar System

Bluetooth-based WKNNPF and WKNNEKF Indoor Positioning Algorithm

Bluetooth-Based WKNNPF and WKNNEKF Indoor Positioning Algorithm

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