کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
566461 1451972 2014 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Integrated track initialization and maintenance in heavy clutter using probabilistic data association
ترجمه فارسی عنوان
راه اندازی یکپارچه مسیر و تعمیر و نگهداری در اختلاط سنگین با استفاده از داده های احتمال احتمالی
کلمات کلیدی
پیوند داده های احتمال احتمالی حداکثر احتمال همبستگی، اتصال داده احتمالاتی مشترک، ردیابی چند هدفه، شروع اولیه آهنگ ردیابی قبل از تشخیص، هتک حرمت
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
چکیده انگلیسی


• A PDA-based multitarget tracker in heavy clutter environment is proposed.
• The new approach can automatically the initialize and maintain the tracks.
• The new approach does not require the number of targets in advance.
• The JML-PDA is extended to the scenario of arbitrary number of targets.
• CRLB is derived to evaluate the performance of the estimation.

Target tracking in high clutter or low signal-to-noise ratio (SNR) environments is an important topic and still a challenging task. Joint Maximum Likelihood Probabilistic Data Association (JML-PDA) is a well-known batch method for initializing the tracks of very low observable (VLO) targets in heavy clutter environments. On the other hand, the Joint Probabilistic Data Association (JPDA) algorithm, which is commonly used for recursive track maintenance, lacks track initialization capability. In this paper, we propose a Combined JML-PDA and JPDA (CJML-PDA) algorithm to automatically initialize and maintain the tracks. This combined approach seamlessly shares information between the initialization and maintenance stages of the tracker. In contrast, in other batch-recursive approaches the initialization and maintenance algorithms operate rather independent of each other. The effectiveness of the proposed algorithm is demonstrated on a heavy clutter scenario and its performance is tested on closely-spaced (but resolved) targets with association ambiguity using angle-only measurements.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Signal Processing - Volume 94, January 2014, Pages 241–250
نویسندگان
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