Comparative Analysis of Two Approaches to Joint Signal Detection, ToA and AoA Estimation in Multi-Element Antenna Arrays
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33122
Comparative Analysis of Two Approaches to Joint Signal Detection, ToA and AoA Estimation in Multi-Element Antenna Arrays

Authors: Olesya Bolkhovskaya, Alexey Davydov, Alexander Maltsev

Abstract:

In this paper two approaches to joint signal detection, time of arrival (ToA) and angle of arrival (AoA) estimation in multi-element antenna array are investigated. Two scenarios were considered: first one, when the waveform of the useful signal is known a priori and, second one, when the waveform of the desired signal is unknown. For first scenario, the antenna array signal processing based on multi-element matched filtering (MF) with the following non-coherent detection scheme and maximum likelihood (ML) parameter estimation blocks is exploited. For second scenario, the signal processing based on the antenna array elements covariance matrix estimation with the following eigenvector analysis and ML parameter estimation blocks is applied. The performance characteristics of both signal processing schemes are thoroughly investigated and compared for different useful signals and noise parameters.

Keywords: Antenna array, signal detection, ToA, AoA estimation.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1096988

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 2050

References:


[1] H.L.Van Trees ”Detection, Estimation, and Modulation Theory” J.Wiley, New York, 1971.
[2] O.V. Bolkhovskaya, A.A. Maltsev ”The performance of the GLRT for the spatial signals detection with a small number of observations”, IEEE Signal Processing Letters, Oct. 2004.
[3] N.R.Goodman, ”Statistical analysis based on a certain multivariate Gaussian distribution”, Ann.Math.Stat., March, 1963, Vol.34.
[4] A. L. Swindlehurst and P. Stoica ”Maximum Likelihood Methods in Radar Array Signal Processing”. Proceedings of IEEE, vol.86,NO.2, February 1998.
[5] H. Kamiyanagida, H. Saruwatari, K. Takeda, and F. Itakura, Direction of arrival estimation based on non-linear microphone array, IEEE Conf. On Acoustics, Speech and Signal Processing , Vol. 5, pp. 3033-3036, 2001.
[6] S. M. Kay, Fundamentals of Statistical Signal Processing: Detection Theory, Prentice-Hall, 1998.
[7] L.L.Scarf ”Statistucal Signal Processing”, Addison-Wesley, Reading, Mass., 1991.
[8] V.S. Pugatchev, ”The theory of probabilities and mathematical statistics”, Nauka, Moskwa, 1979, (in Russian).
[9] V.F. Klyuev, V.P. Samarin, A.V. Klyuev, Estimation of efficiency of algorithm of measurement of power of noise on the background of narrowband interference. Information-measuring and Control Systems, vol. 10, no 6, pp.72-75, 2012.
[10] Kwang June Sohn, Hongbin Li, Braham Himed: Parametric GLRT for Multichannel Adaptive Signal Detection. IEEE Transactions on Signal Processing 55(11), 2007.
[11] P.Cherntanomwong,J.Takada,H.Tsuji, Accurate Angle-of-Arrival Estimation Method in Real System by Applying Calibration and Spatial Smoothing, IEICE Trans.Common.,Vol.E90-B No.10 Oct. 2007
[12] R. Klemm Principles of Space-Time Adaptive Processing. IEE Publishing, 2002.
[13] R. Klemm Applications of Space-Time Adaptive Processing, IEE Publishing, 2004.
[14] L. Brennan and I. Reed, Theory of adaptive radar, IEEE Transactions on Aerospace and Electronic Systems, vol. AES-9, no. 2, March 1973
[15] A.Davydov, G.Morozov, A.Papathanassiou, Advanced interference supression receiver for LTE-Advanced systems, IEEE PIMRC, 2013. -P. 1337-1341
[16] A.Davydov, G.Morozov, A.Papathanassiou, Prediction model for turbo-coded OFDMA-systems employing rate matching and HARQ, IEEE VTC-Spring, 2011. -P. 1-4
[17] O.V. Bolkhovskaya, A.A. Maltsev, K.V. Rodushkin ”Comparative analysis of different statistics for spatial signal detecting in the short samples case”. Radiophysics and quantum electronics, Vol 47, N 8, 2004.
[18] Bolkhovskaya, O. V.; Mal’tsev, A. A. ”Determination of Threshold Values of the Generalized Likelihood Ratio in the Problem of Detecting Partially Coherent Spatial Signals in the Case of Short Samples”. Radiophysics and Quantum Electronics, Volume 45, Number 12 (2002) .
[19] O.V. Bolkhovskaya, A.A. Maltsev, ”Efficiency of different GLR test-statistics for spatial signal detecting”. ICECECE 2012: International Conference on Electrical, Computer, Electronics and Communication Engineering, 6-7 December 2012, Australia, Perth. Issue 72, pp. 260-265.
[20] Rodushkin K.V., Ph.D. Thesis, 200