Track Extraction for Accelerated Targets in Dense Environments Using Variable Gating MLPDA

Masanori MORI; Takashi MATSUZAKI; Hiroshi KAMEDA; Toru UMEZAWA

doi:10.1587/transcom.E96.B.2173

Track Extraction for Accelerated Targets in Dense Environments Using Variable Gating MLPDA

Masanori MORI, Takashi MATSUZAKI, Hiroshi KAMEDA, Toru UMEZAWA

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MLPDA (Maximum Likelihood Probabilistic Data Association) has attracted a great deal of attention as an effective target track extraction method in high false density environments. However, to extract an accelerated target track on a 2-dimensional plane, the computational load of the conventional MLPDA is extremely high, since it needs to search for the most-likely position, velocity and acceleration of the target in 6-dimensional space. In this paper, we propose VG-MLPDA (Variable Gating MLPDA), which consists of the following two steps. The first step is to search the target's position and velocity among candidates with the assumed acceleration by using variable gates, which take into account both the observation noise and the difference between assumed and true acceleration. The second step is to search the most-likely position, velocity and acceleration using a maximization algorithm while reducing the gate volume. Simulation results show the validity of our method.

Publication: IEICE TRANSACTIONS on Communications Vol.E96-B No.8 pp.2173-2179

Publication Date: 2013/08/01

Publicized

Online ISSN: 1745-1345

DOI: 10.1587/transcom.E96.B.2173

Type of Manuscript: PAPER

Category: Sensing

Authors

Masanori MORI
  Mitsubishi Electric Corporation
Takashi MATSUZAKI
  Mitsubishi Electric Corporation
Hiroshi KAMEDA
  Mitsubishi Electric Corporation
Toru UMEZAWA
  Mitsubishi Electric Corporation

Keyword

track extraction, maximum likelihood estimation, gating

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Masanori MORI, Takashi MATSUZAKI, Hiroshi KAMEDA, Toru UMEZAWA, "Track Extraction for Accelerated Targets in Dense Environments Using Variable Gating MLPDA" in IEICE TRANSACTIONS on Communications, vol. E96-B, no. 8, pp. 2173-2179, August 2013, doi: 10.1587/transcom.E96.B.2173.
Abstract: MLPDA (Maximum Likelihood Probabilistic Data Association) has attracted a great deal of attention as an effective target track extraction method in high false density environments. However, to extract an accelerated target track on a 2-dimensional plane, the computational load of the conventional MLPDA is extremely high, since it needs to search for the most-likely position, velocity and acceleration of the target in 6-dimensional space. In this paper, we propose VG-MLPDA (Variable Gating MLPDA), which consists of the following two steps. The first step is to search the target's position and velocity among candidates with the assumed acceleration by using variable gates, which take into account both the observation noise and the difference between assumed and true acceleration. The second step is to search the most-likely position, velocity and acceleration using a maximization algorithm while reducing the gate volume. Simulation results show the validity of our method.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/transcom.E96.B.2173/_p

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@ARTICLE{e96-b_8_2173,
author={Masanori MORI, Takashi MATSUZAKI, Hiroshi KAMEDA, Toru UMEZAWA, },
journal={IEICE TRANSACTIONS on Communications},
title={Track Extraction for Accelerated Targets in Dense Environments Using Variable Gating MLPDA},
year={2013},
volume={E96-B},
number={8},
pages={2173-2179},
abstract={MLPDA (Maximum Likelihood Probabilistic Data Association) has attracted a great deal of attention as an effective target track extraction method in high false density environments. However, to extract an accelerated target track on a 2-dimensional plane, the computational load of the conventional MLPDA is extremely high, since it needs to search for the most-likely position, velocity and acceleration of the target in 6-dimensional space. In this paper, we propose VG-MLPDA (Variable Gating MLPDA), which consists of the following two steps. The first step is to search the target's position and velocity among candidates with the assumed acceleration by using variable gates, which take into account both the observation noise and the difference between assumed and true acceleration. The second step is to search the most-likely position, velocity and acceleration using a maximization algorithm while reducing the gate volume. Simulation results show the validity of our method.},
keywords={},
doi={10.1587/transcom.E96.B.2173},
ISSN={1745-1345},
month={August},}

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TY - JOUR
TI - Track Extraction for Accelerated Targets in Dense Environments Using Variable Gating MLPDA
T2 - IEICE TRANSACTIONS on Communications
SP - 2173
EP - 2179
AU - Masanori MORI
AU - Takashi MATSUZAKI
AU - Hiroshi KAMEDA
AU - Toru UMEZAWA
PY - 2013
DO - 10.1587/transcom.E96.B.2173
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E96-B
IS - 8
JA - IEICE TRANSACTIONS on Communications
Y1 - August 2013
AB - MLPDA (Maximum Likelihood Probabilistic Data Association) has attracted a great deal of attention as an effective target track extraction method in high false density environments. However, to extract an accelerated target track on a 2-dimensional plane, the computational load of the conventional MLPDA is extremely high, since it needs to search for the most-likely position, velocity and acceleration of the target in 6-dimensional space. In this paper, we propose VG-MLPDA (Variable Gating MLPDA), which consists of the following two steps. The first step is to search the target's position and velocity among candidates with the assumed acceleration by using variable gates, which take into account both the observation noise and the difference between assumed and true acceleration. The second step is to search the most-likely position, velocity and acceleration using a maximization algorithm while reducing the gate volume. Simulation results show the validity of our method.
ER -