Study of the asymptotic Cramér-Rao Bound for the COLD uniform linear array

نویسندگان

  • Rémy Boyer
  • Sebastian Miron
چکیده

In this paper, we study the Cocentered Orthogonal Loop and Dipole pairs Uniform Linear Array (COLD-ULA) which is sensitive to the source polarization in the context of the localization of time-varying narrow-band far-field sources. We derive and analyze nonmatrix expressions of the deterministic Cramér–Rao Bound (CRB(COLD)) for the direction and the polarization parameters under the assumption that all the sources are lying in the azimuthal plane.Wedenote this bound byACRB(COLD), where the ‘‘A’’ stands for Asymptotic, meaning that the presented results are derived under the assumption that the number of sensors is sufficiently large.While, to our knowledge, closed-form (nonmatrix) expressions of the CRB(COLD) for multiple time-varying polarized sources signal do not exist in the literature, we show that the ACRB(COLD) takes a closed-form (nonmatrix) expression in this context and is a good approximation of the CRB(COLD) even if the number of sensor is moderate (about ten), if the source signals are not spatially too close. Our approach has two important advantages: (i) the computational complexity of the proposed closedform of the bound is very low, compared to the brute force computation of a matrix-based deterministic CRB in case of time-varying model parameters and (ii) useful informations canbededuced from the closed-formexpression on the behavior of the bound. In particular, we prove that the ACRB(COLD) for the direction parameter is not affected by the knowledge or the lack of it concerning the polarization parameters. Another conclusion is that with a COLD-ULA, moremodel parameters can be estimated than for the uniformly polarized ULA without degrading the estimation accuracy of the localization parameter. Finally, we also study the ACRB(COLD) for a priori known complex amplitudes. © 2012 Elsevier B.V. All rights reserved.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Polarization in Wireless Communications

Wireless communications exploits the electromagneticmedium,which is intrinsically polarization-sensitive. Much wireless technology, however, has been devised without explicit consideration of polarization. Past decades of wireless technology has mainly exploited the dimensions of time, frequency and space. As such, polarization is a logical next step in this progression. This special issue focu...

متن کامل

تخمین جهت منابع با استفاده از زیرفضای ختری-رائو

This paper deals with Direction of Arrival (DOA) Estimation using Uniform linear array (ULA) for the case of more sources than sensors in the array processing. Khatri-Rao subspace approach, introduced for DOA estimation for this, in non-stationary signal model. The technique will be shown to be capable to handle stationary signals, too. Identifiability conditions of this approach are addressed....

متن کامل

تخمین جهت منابع با استفاده از زیرفضای کرونکر

This paper proceeds directions of arrival (DOA) estimation by a linear array. These years, some algorithms, e.g. Khatri-Rao approach, Nested array, Dynamic array have been proposed for estimating more DOAs than sensors. These algorithms can merely estimate uncorrelated sources. For Khatri-Rao approach, this is due to the fact that Khatri-Rao product discard the non-diagonal entries of the corre...

متن کامل

Modified IQML and a statistically efficient method for direction estimation without eigendecomposition

This paper deals with direction estimation of signals impinging on a uniform linear sensor array. A well known algorithm for this problem is IQML. Unfortunately, the IQML estimates are in general biased, especially in noisy scenarios. We propose a modification of IQML (MIQML) that gives consistent estimates at approximately the same computational cost. In addition, an algorithm with an estimati...

متن کامل

Comment on "Asymptotic Achievability of the Cramér-Rao Bound for Noisy Compressive Sampling"

In [1], we proved the asymptotic achievability of the Cramér-Rao bound in the compressive sensing setting in the linear sparsity regime. In the proof, we used an erroneous closed-form expression of ασ for the genie-aided Cramér-Rao bound σTr(AIAI) −1 from Lemma 3.5, which appears in Eqs. (20) and (29). The proof, however, holds if one avoids replacing σTr(AIAI) −1 by the expression of Lemma 3.5...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Physical Communication

دوره 5  شماره 

صفحات  -

تاریخ انتشار 2012