Sep 19, 2024 · In the proposed algorithm, the local tracks from each sensors are send to fusion center, minimizing the sum trajectory integral distance and ...
Abstract. To solve the problem of passive multi-sensor tracking in clutter, a distributed fusion algorithm based on trajectory integral distance and ...
Jun 14, 2024 · To solve the problem of passive multi-sensor tracking in clutter, a distributed fusion algorithm based on trajectory integral distance and ...
Multi-sensor distributed fusion based on cross-location for passive ...
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A maximum-likelihood Cross-location track-to-track fusion strategy using pseudo-measurement transformation is proposed to enhance fusion accuracy in passive ...
A maximum-likelihood Cross-location track-to-track fusion strategy using pseudo-measurement transformation is proposed to enhance fusion accuracy in passive ...
Sep 22, 2024 · To solve the problem of passive multi-sensor tracking in clutter, a distributed fusion algorithm based on trajectory integral distance and pseudo-measurement ...
Multi-sensor distributed fusion based on cross-location for passive tracking. Zhiqi Xu; Yunfei Guo; Yu Kuang; Yun Chen. Read the full article ...
This paper investigates the problem of deploying a network of passive sensors to estimate the positions of an unknown number.
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To this end, we present a novel MAMPS fusion algorithm, which is based on centralized measurement association fusion (MAF) and distributed deep neural network ( ...
Research on Multi-sensor Fusion Algorithm Based on Statistical Track Correlation ... Multi-sensor distributed fusion based on cross-location for passive tracking.