• Title/Summary/Keyword: log-MAP Algorithm

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A Study on The Performance Improvement of HDR-WPAN System Using Turbo Code (Turbo Code를 사용한 HDR-WPAN 시스템의 성능개선 방안 연구)

  • Kang, Chul-Gyu;Kim, Jae-Young;OH, Chang-Heon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • v.9 no.1
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    • pp.774-777
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    • 2005
  • In this paper, we propose performance improvement algorithm for high data rate wireless personal area network (HDR-WPAN) system using turbo code. Turbo code increase detection delay and computation according to iterate counts. However, turbo code has been shown to be very close th the Shanon limit, can be classified as a block-based error correction code. Turbo code has gain about E$_b$/N$_o$=5.8dB at 10$^{-4}$ in the multipath indoor channel. In the result, HDR-WPAN system adopted turbo code has reliable communication by low power.

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The Road Traffic Sign Recognition and Automatic Positioning for Road Facility Management (도로시설물 관리를 위한 교통안전표지 인식 및 자동위치 취득 방법 연구)

  • Lee, Jun Seok;Yun, Duk Geun
    • International Journal of Highway Engineering
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    • v.15 no.1
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    • pp.155-161
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    • 2013
  • PURPOSES: This study is to develop a road traffic sign recognition and automatic positioning for road facility management. METHODS: In this study, we installed the GPS, IMU, DMI, camera, laser sensor on the van and surveyed the car position, fore-sight image, point cloud of traffic signs. To insert automatic position of traffic sign, the automatic traffic sign recognition S/W developed and it can log the traffic sign type and approximate position, this study suggests a methodology to transform the laser point-cloud to the map coordinate system with the 3D axis rotation algorithm. RESULTS: Result show that on a clear day, traffic sign recognition ratio is 92.98%, and on cloudy day recognition ratio is 80.58%. To insert exact traffic sign position. This study examined the point difference with the road surveying results. The result RMSE is 0.227m and average is 1.51m which is the GPS positioning error. Including these error we can insert the traffic sign position within 1.51m CONCLUSIONS: As a result of this study, we can automatically survey the traffic sign type, position data of the traffic sign position error and analysis the road safety, speed limit consistency, which can be used in traffic sign DB.

Performance Improvement of the battening Effect of the new Asymmetric Turbo Codes (새로운 비대칭 구조를 갖는 터보부호의 Flattening Effect의 성능향상에 관한 연구)

  • 정대호;정성태;김환용
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.27 no.6A
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    • pp.533-539
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    • 2002
  • It is well known the fact that turbo lodes has better performance as the number of iteration and the interleaver size increases in the AWGN channel environment. However, as the number of iteration and the interleaver size are increased, it is required much delay and computation for iterative decoding, and caused the flattening effect phenomenon which is very litter BER performance improvement at the arbitrary SNR. In this paper, We proposed the new asymmetric turbo codes, which consist of parallel concatenated turbo codes that use mixed types of component codes with different not only constraint length but also generate polynomial and analyzed its BER performance for log-MAP decoding algorithm with frame size of 128, 256, 512 and 1024 bits, and coding rate of 1/3. As a results of simulation, proposed asymmetric turbo codes verify that its BER performance is superior to conventional symmetric turbo codes. It can be also observed that the flattening effect phenomenon is very reduced by applying the proposed asymmetric turbo codes. It gains respectively 1.7dB ~2.5dB and 2.0dB~2.5dB SNR improvements in the case of short frame(128, 256) and large frame(512, 1024) size for the BER $10_{-4}$>/TEX> region.

Efficient stop criterion algorithm of the turbo code using the maximum sign change of the LLR (LLR 최대부호변화를 적용한 터보부호의 효율적인 반복중단 알고리즘)

  • Shim Byoung-Sup;Jeong Dae-Ho;Lim Soon-Ja;Kim Tae-Hyung;Kim Hwan-Yong
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.43 no.5 s.347
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    • pp.121-127
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    • 2006
  • It is well known the fact that turbo codes has better performance as the number of iteration and the interleaver size increases in the AWGN channel environment. However, as the number of iteration and the interleaver size are increased, it is required much delay and computation for iterative decoding. Therefore, it is important to devise an efficient criterion to stop the iteration process and prevent unnecessary computations and decoding delay. In this paper, it proposes the efficient stop criterion algorithm for turbo codes using the maximum sign change of LLR. It is verifying that the proposal variable iterative decoding controller can be reduced the average iterative decoding number compared to conventional schemes with a negligible degradation of the error performance.

LPM-Based Digital Watermarking for Forgery Protection in Printed Materials (인쇄물의 위조 방지를 위한 LPM기반의 디지털 워터마킹)

  • Bae Jong-Wook;Lee Sin-Joo;Jung Sung-Hwan
    • Journal of Korea Multimedia Society
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    • v.8 no.11
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    • pp.1510-1519
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    • 2005
  • We proposed a digital watermarking method that it is possible to identify the copyright because the watermark is detected in the first print-scan and to protect a forgery because the watermark is not detected in the second print-scan. The proposed algorithm uses LPM and DFT transform for the robustness to the distortion of pixel value and geometrical distortion. This methods could improve watermark detection performance and image quality by selecting maximum sampling radius in LPM transform. After analyzing the characteristics of print-scan process, we inserted the watermark in the experimentally selected frequency bands that survives robustly to the first print-scan and is not detected in the second print-scan, using the characteristic of relatively large distortion in high frequency bands of DFT As the experimental result, the original proof is possible because average similarity degree 5.13 is more than the critical value 4.0 in the first print-scan. And the detection of forgery image is also possible because average similarity degree 2.76 is less than the critical value 4.0 in the second print-scan.

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