افزایش دقت مکان‌یابی در سیستم‌های مخابراتی بدون سیم مبتنی بر شبکه عصبی

امیرخانی, زهرا; مدنی, محمد حسین; سدید پور, سعیده سادات; مومنی ازندریانی, امیرحسین

افزایش دقت مکان‌یابی در سیستم‌های مخابراتی بدون سیم مبتنی بر شبکه عصبی

نویسندگان

¹ دانشجوی کارشناسی ارشد، دانشگاه صنعتی مالک اشتر، تهران، ایران

² دانشیار، دانشگاه صنعتی مالک اشتر ، تهران، ایران

³ دانشجوی دکترا، دانشگاه صنعتی مالک اشتر، تهران، ایران

چکیده

مکان‌یابی دقیق هدف در سیستم‌های مخابراتی بدون سیم یکی از مسائل مهم در کاربردهای نظامی و غیرنظامی می‌باشد. در شبکه‌های مخابراتی بدون سیم مکان کاربر با استفاده از اندازه‌گیری زمان ورود سیگنال (TOA) از MS به BS های مجاور انجام می‌شود. یکی از روش‌های دقیق برای تعیین مکان در سیستم‌های مبتنی بر TOA استفاده از شبکه‌های عصبی می‌باشد. در این مقاله الگوریتم جدیدی برای افزایش دقت مکان‌یابی بر اساس شبکه عصبی BPNNارائه شده است. در الگوریتم جدید ارائه شده به‌جای استفاده از نقاط تقاطع احتمالی دوایر TOA به‌عنوان ورودی شبکه عصبی، از شعاع دوایر TOA استفاده‌شده که نسبت به روش قبلی از پیچیدگی بسیار کمتری برخوردار بوده و باعث افزایش دقت می‌گردد. نتایج تحلیل و شبیه‌سازی‌ها نیز کاهش خطای مکان‌یابی به میزان بیشتر از نصف در الگوریتم جدید نسبت به روش قبلی و لذا افزایش قابل‌توجه دقت مکان‌یابی را نشان می‌دهد.

کلیدواژه‌ها

20.1001.1.23224347.1394.3.3.4.3

عنوان مقاله [English]

Increasing the Accuracy of Locating in Wireless Communication Systems Based on Neural Networks

نویسندگان [English]

Zahra Amirkhani ¹
Mohammad Hossein Madani ²
Saeideh Sadat Sadidpour ³
Amir Hossein Momeni ³

¹ Master's student, Malik Ashtar University of Technology, Tehran, Iran

² Associate Professor, Malik Ashtar University of Technology, Tehran, Iran

³ PhD student, Malik Ashtar University of Technology, Tehran, Iran

چکیده [English]

The exact location of wireless communication systems aimed at both military and civilian applications is
an important issue. In wireless communication networks, the user's location is done by using the measured
signals time of arrival (TOA) from MS to BS. One of the most accurate methods for determining the
TOA -based location systems is the use of neural networks.
In this paper, a new algorithm is provided to improve the accuracy of locating based on BP neural
network. In the newly proposed algorithm, instead of possible crossing points of TOA circles as neural
network input, radius of TOA circle is used that much less than the previous method of complexity and
accuracy is increased. Analysis and simulations show reduction positioning errors to a greater extent than
half in the new algorithm compared to the previous method and it shows the location carefully.

کلیدواژه‌ها [English]

the accuracy of locating
wireless communication systems
neural networks

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