Zhurnal Radioelektroniki - Journal of Radio Electronics. eISSN 1684-1719. 2022. №2
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DOI: https://doi.org/10.30898/1684-1719.2022.2.10

 

 

the Cramer-Rao Lower Bound Minimizing
for designing Antenna Arrays with Directional Radiators

for improving accuracy of direction-of-arrival estimation

 

I.W. Peshkov

 

Yelets State University Bunina
399770, Lipetsk region, Yelets, st. Kommunarov, 28

 

The paper was received February 1, 2022.

 

Abstract. The use of antenna arrays equipped with digital signal processing units is a promising way to increase the throughput, noise immunity of modern wireless information transmission systems. The spatial diversity of the antenna is the main advantage of this approach which makes it possible to estimate the spatial coordinates of radio signals with subsequent beamforming. It is well known that the insufficient knowledge of the influence of the array geometry together with various types of antenna elements (such as a dipole, a patch, etc.) may be a cause reducing the accuracy of such systems. The article describes an approach aiming at reducing direction-of-arrival estimation errors of radio signal sources by means of optimal antenna array geometries. In particular, the Cramer-Rao lower bound is used for the task. The quantity sets a limit below which one or another algorithm for estimating the spatial coordinates of signal sources cannot descend for a particular geometry of the antenna array. The expressions based on the Cramer-Rao lower bound are derived which describes the dependence of the variance of direction-of-arrival estimation errors on the location of the array elements in the Cartesian coordinate system, i.e. along the x, y, z axes. In addition, the function of the radiation patterns of individual antennas is taken into account in the obtained formulas. Additionally it is considered that the antenna elements are directional. Therefore, the proposed technique is aimed at reducing the variance of direction-of-arrival estimation errors of statistical algorithms with superresolution by minimizing the obtained new formulas. As a result, the optimal locations of antenna elements along the x, y, z axes are calculated. In the paper, new geometries of antenna arrays have been obtained according to the proposed approach. In particular, two- and six-element arrays are researched, which are compared with equally spaced cylindrical ones. Graphs of the error variance of the Cramer-Rao boundary are presented, as well as a statistical study of the MUSIC method. It is shown that the magnitude of errors is reduced by new antenna arrays in all the researching scenarios. Thus the antenna arrays geometries obtained in this paper allow improving the accuracy of algorithms for estimating the angular coordinates of radio signals with superresolution.

Key words: circular antenna array, cylindrical antenna array, direction-of-arrival estimation, superresolution, Cramer-Rao lower bound.

Corresponding author: Peshkov Ilia Wladimirovich, ilvpeshkov@gmail.com

References

1. Yefremova S.V. Implementation options for digital beamforming in adaptive digital antenna arrays. Aktual'nyye problemy aviatsii i kosmonavtiki [Actual problems of aviation and astronautics]. 2017. V.1. №13. P.451-454. (In Russian)

2. Sanudin R., Noordin N.H., El-Rayis A.O., Haridas N., Erdogan A.T., Arslan T. Analysis of DOA estimation for directional and isotropic antenna arrays. 2011 Loughborough Antennas & Propagation Conference. 2011. P.1-4. https://doi.org/10.1109/LAPC.2011.6114043

3. Nechaev Yu.B., Peshkov I.W. Evaluation of the influence of directivity factor of directive elements of conformal antenna arrays on the performances of Azimuth-elevation DOA estimation. Progress In Electromagnetics Research Symposium - Spring (PIERS). 2017. P.490-495.

4. Houcem Gazzah, Jean Pierre Delmas. On isotropic circular arrays of anisotropic sensors. 2015 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT). 2015. P.95-99.

5. Houcem Gazzah, Jean Pierre Delmas, Sergio M. Jesus. Direction-finding arrays of directional sensors for randomly located sources. IEEE Transactions on Aerospace and Electronic Systems. 2016. V.52. №4. P.1995-2003.

6. Khabirov D.O., Slavyanskii A.O., Radchenko A.A. An example of optimizing the location of antenna elements of a flat antenna array of a phase direction finder. Elektronika i mikroelektronika SVCh. Sbornik statei V Vserossiiskoi konferentsii [Collection of articles of the V All-Russian Conference] 2016. P.254-258.

7. Youssef Fayad, Caiyun Wang, Qunsheng Cao and Alaa El-Din Sayed Hafez. A Developed ESPRIT Algorithm for DOA Estimation. Frequenz. 2015. V.69. №5-6. P.263-269. https://doi.org/10.1515/freq-2014-0112

8. Gentilho E., Scalassara P.R., Abrão T. Direction-of-Arrival Estimation Methods: A Performance-Complexity Tradeoff Perspective. J Sign Process Syst. 2020. №92. P.239-256. https://doi.org/10.1007/s11265-019-01467-4

9. Lange O., Yang B. Array geometry optimization for direction-of-arrival estimation including subarrays and tapering. 2010 International ITG Workshop on Smart Antennas (WSA). 2010. P.135-142. https://doi.org/10.1109/WSA.2010.5456461

10. Nechaev Yu.B., Algazinov E., Peshkov I. Estimation of the Cramer-Rao Boud for Radio Direction-Finding on the Azimuth and Elevation of the Cylindical Antenna Arrays. 2018 41st International Conference on Telecommunications and Signal Processing (TSP). 2018. P.1-4. https://doi.org/10.1109/TSP.2018.8441419

11. Stoica P., Nehorai A. MUSIC, maximum likelihood, and Cramer-Rao bound. IEEE Transactions on Acoustics, Speech, and Signal Processing. 1989. V.37. №5. P.720-741. https://doi.org/10.1109/29.17564

12. Schmidt R.O. Multiple Emitter Location and Signal Parameter Estimation. IEEE Trans. Antennas Propagation. 1986. V.AP-34. P.276-280.

For citation:

Peshkov I.W. The Cramer-Rao lower bound minimizing for designing antenna arrays with directional radiators for improving accuracy of direction-of-arrival estimation. Zhurnal radioelektroniki [Journal of Radio Electronics] [online]. 2022. №2. https://doi.org/10.30898/1684-1719.2022.2.10 (In Russian)