Comparative Analysis of Two Approaches to Joint Signal Detection, ToA and AoA Estimation in Multi-Element Antenna Arrays
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.
[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
[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
@article{"International Journal of Electrical, Electronic and Communication Sciences:68350", author = "Olesya Bolkhovskaya and Alexey Davydov and Alexander Maltsev", title = "Comparative Analysis of Two Approaches to Joint Signal Detection, ToA and AoA Estimation in Multi-Element Antenna Arrays", 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.", volume = "8", number = "12", pages = "1852-5", }
