Performance enhancement for rate-constrained motion estimation using Kalman filter

Chung-Ming Kuo

doi:10.1117/1.1799151

Performance enhancement for rate-constrained motion estimation using Kalman filter

Optical Engineering ◽

10.1117/1.1799151 ◽

2004 ◽

Vol 43 (11) ◽

pp. 2707 ◽

Cited By ~ 1

Author(s):

Chung-Ming Kuo

Keyword(s):

Kalman Filter ◽

Motion Estimation ◽

Performance Enhancement ◽

Constrained Motion

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Rate-constrained motion estimation using Kalman filter

Journal of Visual Communication and Image Representation ◽

10.1016/j.jvcir.2005.06.004 ◽

2006 ◽

Vol 17 (4) ◽

pp. 929-946 ◽

Cited By ~ 1

Author(s):

Shu-Chiang Chung ◽

Chung-Ming Kuo ◽

Po-Yi Shih

Keyword(s):

Kalman Filter ◽

Motion Estimation ◽

Constrained Motion

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Entropy-constrained motion estimation: algorithm and implementation

10.1117/12.304667 ◽

1998 ◽

Author(s):

Parthasarathy Sriram ◽

Subramania I. Sudharsanan

Keyword(s):

Motion Estimation ◽

Estimation Algorithm ◽

Constrained Motion ◽

Motion Estimation Algorithm

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Motion estimation algorithm with Kalman filter

Electronics Letters ◽

10.1049/el:19940835 ◽

1994 ◽

Vol 30 (15) ◽

pp. 1204-1206 ◽

Cited By ~ 12

Author(s):

C.-M. Kuo ◽

P.-C. Lu ◽

H.-C. Lin ◽

C.-H. Hsieh

Keyword(s):

Kalman Filter ◽

Motion Estimation ◽

Estimation Algorithm ◽

Motion Estimation Algorithm

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A Particle Filtering Approach To Constrained Motion Estimation In Tracking Multiple Targets

Conference Record of the Thirty-Ninth Asilomar Conference onSignals, Systems and Computers, 2005. ◽

10.1109/acssc.2005.1599709 ◽

2006 ◽

Cited By ~ 5

Author(s):

I. Kyriakides ◽

D. Morrell ◽

A. Papandreou-Suppappola

Keyword(s):

Motion Estimation ◽

Particle Filtering ◽

Constrained Motion ◽

Multiple Targets ◽

Filtering Approach

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Robust Attitude Motion Estimation for Uncontrolled Satellites Using the Unscented Kalman Filter

JOURNAL OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES ◽

10.2322/jjsass.56.65 ◽

2008 ◽

Vol 56 (649) ◽

pp. 65-71 ◽

Cited By ~ 3

Author(s):

Keigo Yoshida ◽

Youhei Shirasaka ◽

Takehisa Yairi ◽

Kazuo Machida

Keyword(s):

Kalman Filter ◽

Motion Estimation ◽

Unscented Kalman Filter ◽

Attitude Motion

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Cost-Based Search Ordering for Rate-Constrained Motion Estimation Applied to HEVC

IEEE Transactions on Broadcasting ◽

10.1109/tbc.2018.2847444 ◽

2018 ◽

Vol 64 (4) ◽

pp. 922-932 ◽

Cited By ~ 3

Author(s):

Luc Trudeau ◽

Stephane Coulombe ◽

Christian Desrosiers

Keyword(s):

Motion Estimation ◽

Constrained Motion

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Motion Estimation of Autonomous Vehicle in Noisy Surroundings Using Kalman Filter

Lecture Notes in Electrical Engineering - Advances in Control Instrumentation Systems ◽

10.1007/978-981-15-4676-1_6 ◽

2020 ◽

pp. 65-75

Author(s):

Ankur Jain ◽

B. K. Roy

Keyword(s):

Kalman Filter ◽

Motion Estimation ◽

Autonomous Vehicle

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BER Improvement in OFDM Systems Using Wavelet Transform Based on Kalman Filter

Advances in Systems Analysis, Software Engineering, and High Performance Computing - Fundamental and Supportive Technologies for 5G Mobile Networks ◽

10.4018/978-1-7998-1152-7.ch005 ◽

2020 ◽

pp. 102-124

Author(s):

Sajjan Singh

Keyword(s):

Kalman Filter ◽

Wavelet Transform ◽

Fading Channels ◽

Communication Systems ◽

Orthogonal Frequency Division Multiplexing ◽

High Speed ◽

Performance Enhancement ◽

Average Power ◽

Discrete Wavelet ◽

Rate Analysis

Orthogonal frequency division multiplexing (OFDM) is an efficient method of data transmission for high speed communication systems over multipath fading channels. However, the peak-to-average power ratio (PAPR) is a major drawback of multicarrier transmission systems such as OFDM is the high sensitivity of frequency offset. The bit error rate analysis (BER) of discrete wavelet transform (DWT)-OFDM system is compared with conventional fast Fourier transform (FFT)-OFDMA system in order to ensure that wavelet transform based OFDMA transmission gives better improvement to combat ICI than FFT-based OFDMA transmission and hence improvement in BER. Wavelet transform is applied together with OFDM technology in order to improve performance enhancement. In the proposed system, a Kalman filter has been used in order to improve BER by minimizing the effect of ICI and noise. The obtained results from the proposed system simulation showed acceptable BER performance at standard SNR.

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