تخمین زاویه ورود با استفاده از حسگری فشرده مبتنی بر ماتریس اندازه‌گیری DFT

نوع مقاله: مقاله پژوهشی

نویسندگان

1 دانشکده فنی مهندسی ، گروه مخابرت، دانشگاه شاهد

2 دانشکده فنی مهندسی، گروه مخابرات، دانشگاه شاهد

چکیده

در این مقاله، یک روش جدید برای تخمین زاویه ورود با استفاده از ساختار آرایه خطی غیریکنواخت و مدل‌سازی ماتریس اندازه‌گیری        به­صورت ماتریس DFT ارائه شده است. به­منظور تخمین دقیق زاویه ورود با روش حسگری فشرده، فضای زاویه‌ای پیوسته باید با گام‌های کوچک تقسیم‌بندی شود. تقسیم‌بندی فضای زاویه‌ای پیوسته با گام‌های کوچک، منجر به افزایش همدوسی بین ستون‌های ماتریس اندازه‌گیری شده و تخمین زاویه ورود امکان‌پذیر نخواهد بود. برای حل مشکل بیان شده، در این مقاله یک روش جدید برای مدل‌سازی ماتریس اندازه‌گیری به صورت ماتریس DFT پیشنهاد می‌شود. برای افزایش دقت تخمین، لازم است که ابعاد ماتریس DFT یا به عبارتی دیگر تعداد آنتن‌های آرایه زیاد باشد. بالا بودن تعداد آنتن‌های آرایه موجب پیچیده شدن سیستم می‌شود. یک راه­کار برای کاهش تعداد آنتن‌های آرایه، استفاده از آرایه خطی غیریکنواخت و تشکیل یک آرایه خطی یکنواخت به­صورت مجازی است. آرایه مجازی خطی یکنواخت، با  برداری­کردن ماتریس همبستگی سیگنال‌های دریافتی یک آرایه خطی غیریکنواخت به­دست می‌آید. بالا بودن تعداد آنتن‌های آرایه مجازی منجر به افزایش ابعاد ماتریس DFT خواهد شد، بنابراین، تخمین زاویه‌های ورود منابع با دقت بالاتری صورت خواهد گرفت. نتایج شبیه‌سازی نشان می‌دهد که تخمین زاویه ورود با استفاده از مدل‌سازی ماتریس اندازه‌گیری با ماتریس DFT عملکرد مناسبی دارد.

کلیدواژه‌ها


عنوان مقاله [English]

DOA Estimation Using Compressive Sensing Based on DFT Measurement Matrix

نویسندگان [English]

  • Yasoub Eghbali 1
  • Ahmad Ataee 2
  • Mahmoud Ferdosizade Naeiny 2
1 Electrical Engineering Department, Shahed University
2 Electrical Engineering department, Shahed University
چکیده [English]

In this paper, a new method is proposed to estimate the direction of arrival (DOA) using non-uniform linear array structure and modeling the measurement matrix as a DFT matrix. In order to estimate the DOA using compressive sensing (CS), continuous angle space should be divided into a discrete set using small steps. This division, leads to the increment of mutual coherence between columns of the measurement matrix and performance of the sparse recovery algorithms is degraded. To solve this problem, we propose a new method in which DFT matrix with mutual coherence of zero is used as the measurement matrix. In order to increase the accuracy of estimation, the size of DFT matrix or the number of antennas should be increased. Implementation of an array with large number of antennas is complex and expensive. A solution to decrease the number of antennas is using a non-uniform linear array and constructing a virtual uniform linear array. A virtual uniform linear array can be constructed by vectorizing the correlation matrix of the received signal of a non-uniform linear array. Increasing the number of antennas in the virtual array will increase the size of DFT matrix. Therefore, the accuracy of DOA estimation will be increased. Simulation results show that DOA estimation using compressive sensing, based on DFT measurement matrix, has a good performance in terms of mean square error of estimation.

کلیدواژه‌ها [English]

  • Direction of Arrival Estimation
  • Compressive Sensing
  • DFT Matrix and Virtual Uniform Linear Array

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