Now showing 1 - 10 of 19
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    Reliability Ratio-Based Serial Algorithm of LDPC Decoder for Turbo Equalization Schemes
    (2022-02-01)
    Khittiwitchayakul, Sirawit
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    Serial decoding algorithms of low-density parity-check (LDPC) code converge efficiently with low errors. Previously, a serial decoding algorithm, named a shuffled belief-propagation (SBP), was applied in turbo equalization of bit-patterned magnetic recording (BPMR) systems. With the SBP algorithm, an LDPC decoder converged twice as fast as one using conventional BP algorithms. We further improved the convergence speed of SBP by updating the messages in an adaptive order, which played a flexible role throughout decoding. We proposed two adaptive-serial algorithms for LDPC codes in turbo equalization. One updated the messages using the extrinsic loglikelihood ratio (LLR) and the result of the parity-check equation checking. The second contained an additional rule that tracked the LLR sign changes in each iteration. Both algorithms converged faster and with lower bit error rates (BERs) than the SBP and previous adaptive-serial algorithms in a BPMR system with media noise.
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    Construction of punctured polar codes based on genetic algorithm
    (2021-05-19)
    Mueadkhunthod, Krittiyaporn
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    Min Myint, Lin Min
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    In this work, we propose a new construction of punctured polar codes, which provides a good error-correcting performance at arbitrary code lengths and code rates. We exploit the density evolution to evaluate the error probability of punctured polar codes. Then, the puncturing pattern and frozen bit positions are selected by genetic algorithm to construct a punctured polar code with low error probability. The results show that the proposed technique provides superior block error rate performance than the quasi-uniform puncturing technique at a high code rate. At a low code rate, the proposed technique can show the better performance than the shortening technique.
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    Improvement of Kalman Filter for GNSS/IMU Data Fusion with Measurement Bias Compensation
    The ASEAN IVO project currently supports the research related to GNSS and ionospheric data products for disaster prevention and aviation in low-latitude regions. In vehicle navigation, Real Time Kinematic (RTK) positioning distorted from the environment often contaminates the measurement vectors (such as position or speed of a rover). In this situation, the conventional Kalman filter with a linear motion model could not reduce positioning errors sufficiently due to existing bias. Hence, the measurement bias compensation method based on the mean of residual vectors is proposed. We modify the conventional Kalman filter by including this compensation in the estimation step. We test the algorithm in both of the simulations and actual experiments. From the results, the proposed method outperforms the baseline method in terms of positioning error by 60% and 12% for the simulation test and the field test respectively.
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    Performances of GAGAN Satellite-Based Augmentation System in Thailand Region
    (2020-07-01)
    Sophan, Somkit
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    Myint, Lin M.M.
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    The ASEAN IVO project currently supports the research related to GNSS and ionospheric data products for disaster prevention and aviation in low-latitude regions. Satellite-Based Augmentation System (SBAS) is vital to air navigation in many regions around the world. In Thailand, the L1-frequency SBAS corrections can be received from the GPS Aided Geo Augmented Navigation (GAGAN) system which is intended for use over Indian airspace. In this work, we analyze the performances of the GAGAN system in Thailand on quiet and disturbed days in March 2019 by applying the entire corrections received at King Mongkut's Institute of Technology Ladkrabang station. The 95-percent horizontal and vertical accuracies on quiet days are 1.52 and 3.18 meters, respectively. In contrast, on disturbed days they are 1.97 and 3.41 meters, respectively.
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    Jamming Detection and Distance Calculation of L1 and E1 Frequencies
    (2020-07-01)
    Sakorn, Chotipong
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    GNSS jammers in the form of small portable devices are able to transmit the interference signals to GNSS receivers with the goal of misleading or disrupt the positioning. The interference or jamming can be detected from the carrier-tonoise (C/N0) values. In this work, we apply the Moving Variance (MV) to detect the occurrence of jamming from L1, E1 frequencies of GPS, Galileo satellites. In addition, we use Friis equation and random variable matching to calculate the distance between the GNSS receiver and jammer.
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    An early termination technique of polar codes for IR-HARQ scheme
    (2020-10-08)
    Mueadkhunthod, Krittiyaporn
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    In this work, we focus on polar codes in mobile communication systems where a retransmission strategy, namely, the incremental redundancy hybrid automatic repeat request (IR-HARQ) scheme, is performed. We propose an early termination (ET) of polar codes using the interleaved cyclic redundancy check (CRC) codes and the parity check (PC) codes. The parity-check equations of CRC and PC codes are used to detect the incorrectly decoded bits during the polar decoding. The simulation results verify that the proposed ET techniques can detect the erroneous bits in initial transmission and retransmission. The proposed technique provides the ET rate about 4-90%, and the block error rate (BLER) performance degradation is less than 2 dB.
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    Design of partition decoding for polar codes in 5G new radio
    (2020-10-08)
    Wongsa, Anusorn
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    Min Myint, Lin Min
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    In this work, we consider partition decoding to diminish the required memory of polar codes in 5G new radio. We show that the suitable design of partition decoding for downlink and uplink control channels may differ. Moreover, the partitioning technique can reduce the computation complexity of polar decoder by limiting the number of codewords passed between partitions. We then propose to use the parity bits of interleaved CRC codes to select the codewords passed between partitions. The parity bits can help the partition decoding of which the codewords are verified. The simulation results show that the parity bits can improve the performance of partition decoding of polar codes in the downlink control channel of 5G new radio.
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    Spread-F prediction model for the equatorial Chumphon station, Thailand
    (2020-01-01)
    Thammavongsy, P.
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    Hozumi, K.
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    Tsugawa, T.
    This work proposes a range spread-F (RSF) prediction model using the neural network (NN) over the equatorial Chumphon (CPN) region in Thailand. The RSF model is constructed by using five input spaces including the diurnal variations, seasonal variations, geographic latitude, solar flux index (F10.7), and magnetic index (A<inf>p</inf>). The RSF NN model is trained with three years of RSF data during 2013 to 2015 from Chumphon (CPN) station (Latitude = 10.7°N, Longitude = 99.4°E) and the performance of the proposed RSF NN model is validated using the dataset of 2016. As a result, the RSF NN model achieves 98.3% accuracy of all correct predictions even with the limited available data. The results show that the proposed NN model yields a lower RSF probability than the actual observation by about 7.3%, but the overestimation of the proposed NN model is 2.5% in both the equinoxes and solstices. In addition, we discover that the IRI-2016 model mostly overestimates the RSF probability when compared with the actual observation for all seasons in 2016, particularly, in equinoctial months over Chumphon station.
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    Improvement of single point positioning accuracy by using GAGAN satellite-based augmentation system in Thailand Region
    (2021-05-19)
    Sophan, Somkit
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    Myint, Lin M.M.
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    Although GAGAN satellite-based augmentation system (SBAS) provides ionospheric correction service to India and surrounding areas, the correction values do not cover the entire region of Thailand and even at provided grids, they may not be sufficiently accurate. Hence, this work, we propose a local ionospheric delay estimation method based on the geo-free ionospheric delay estimation. Then the estimated ionospheric delays are applied together with the fast and long-term corrections of GAGAN SBAS to improve the positioning errors. The results show that the estimated ionospheric delays can improve the user positioning errors in terms of horizontal and vertical errors up to 0.5 and 1 meter, respectively.
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    Item type:Publication,
    Real-time jamming detection and position estimation via software-defined radio (SDR)
    (2021-05-19)
    Thanakan, Kasamawat
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    Sapphaniran, Kitisak
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    Palasarn, Trin
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    Global Navigation Satellite System (GNSS) is widely used in position, navigation and time in applications such as exploration, military, aviation, navigation, and time identification. However, the GNSS signals may be unavailable due to the jammers which disrupt or mislead the positioning. Current jamming detection methods do not estimate the distances from jammers to users nor store spectrum images for later retrieval. Therefore, in this paper, the real-time jamming detection is proposed by using the signal powers from Software Defined Radio (SDR). The proposed jamming detection not only detects jamming occurrences, but also estimate the position of jammers via Friis equation.