Array Signal Processing: DOA Estimation for Missing Sensors
Array signal processing involves signal enumeration and source localization. Array signal processing is centered on the ability to fuse temporal and spatial information captured via sampling signals emitted from a number of sources at the sensors of an array in order to carry out a specific estimation task: source characteristics (mainly localization of the sources) and/or array characteristics (mainly array geometry) estimation. Array signal processing is a part of signal processing that uses sensors organized in patterns or arrays, to detect signals and to determine information about them. Beamforming is a general signal processing technique used to control the directionality of the reception or transmission of a signal. Using Beamforming we can direct the majority of signal energy we receive from a group of array. Multiple signal classification (MUSIC) is a highly popular eigenstructure-based estimation method of direction of arrival (DOA) with high resolution. This Paper enumerates the effect of missing sensors in DOA estimation. The accuracy of the MUSIC-based DOA estimation is degraded significantly both by the effects of the missing sensors among the receiving array elements and the unequal channel gain and phase errors of the receiver.
[1] H. Krim, M.Viberg, " Two Decades of Array Signal Processing
Research". IEEE Signal Processing Magzine, July 1996.
[2] R. Schmidt "Multiple emitter location and signal parameter estimation",
IEEE Trans. on Antennas and propagation, vol 34, No 3, pp. 276-280,
March 1986.
[3] B.D.Van Veen, K.M.Buckley, " Beamformin: A Versatile Approach to
Spatial Filtering", IEEE ASSP Magazine April 1988.
[4] Amr El-Keyi, T. Kirubarajan, "Adaptive beam space focusing for
direction of arrival estimation of wideband signals", ELSEVIER, Signal
Processing 88 (2008) 2063-2077
[5] Jung-Tae Kim, Sung-Hoon Moon, Dong Seog Han, and Myeong-Je
Cho, "Fast DOA Estimation Algorithm Using Pseudocovariance
Matrix", IEEE Transactions on Antenna and Propagation, Vol.53,
No.4,Nov 2005.
[6] M. A. Al-Nuaimi, R. M. Shubair, and K. O. Al-Midfa, "Direction of
Arrival Estimation In Wireless Mobile Communication Using Minimum
Veriance Distortion less Responses", The Second International
Conference on Innovations in Information Technology (IIT-05).
[7] D.R.Farrier, "Direction of Arrival Estimation by Subspace Methods",
CH2847-2/90/0000-2651, IEEE 1990.
[8] T. Murakami, Y. Ishida, "Fundamental frequency estimation of spreech
signals using MUSIC algorithm", Acoustic Science & Technology, 22,
4(2001).
[9] A. Randazzo, M.A.Abou-Khousa, "Direction of Arrival Estimation
Based on Support Vector Regression: experimental Validation and
Comparison with MUSIC", IEEE Antenna and Wireless Propagation
Letters, Vol.6, 2007.
[10] Gupta, I.J., and Ksienski, A.A.: ÔÇÿEffect of mutual coupling on the
performance of adaptive arrays-, IEEE Trans. Antennas Propag., 1983,
31, pp. 785-791.
[11] B. Friedlander, "A sensitivity analysis of the MUSIC algorithm," IEEE
Trans. Acoust., Speech, Signal Processing, Vol. 38, pp.1740-1751, Oct.
1990.
[12] Dimitris G. Manolakis, Vinay K. Ingle, Stephen M. Kogon, Statistical
and Adaptive Signal Processing, ARTECH HOUSE, INC.
[13] S.Haykin, array signal processing, New Jersey: Prentice-Hall.
[14] H. T. Hui, "A practical approch to compensate for the mutual coupling
effect of an adaptive dipole array," IEEE Trans. Antennas Propagat.,
Vol. 52, pp.1262-1269, May 2004.
[15] H. Rogier, E. Bonek, " Analytical spherical-mode-based compensation
of mutual coupling in uniform circular arrays for direction -of-arrival
estimation", ELSEVIER, (AEU) 60 (2006) 179-189.
[16] Xu Xu, Z. Ye, Y. Zhang, " DOA Estimation for Mixed signals in the
Presence of Mutual Coupling", IEEE Transactions on Signal
Processing,Vol.57, No.9,Nov 2009.
[17] Jung-Tae Kim, Sung-Hoon Moon, Dong Seog Han, and Myeong-Je Cho,
"Fast DOA Estimation Algorithm Using Pseudocovariance Matrix",
IEEE Transactions on Antenna and Propagation, Vol.53, No.4,Nov
2005.
[18] Amr El-Keyi, T. Kirubarajan, "Adaptive beam space focusing for
direction of arrival estimation of wideband signals", ELSEVIER, Signal
Processing 88 (2008) 2063-2077.
[19] M. L. McCloud and L. L. Scharf, "A new subspace identification
algorithm for high resolution DOA estimation", IEEE Transactions on
Antenna and Propagation, Vol.50, pp. 1382-1390, Oct 2002.
[20] Lee, C. C. and J. H. Lee, "Design and analysis of a 2-D eigenspacebased
interference canceller," IEEE Trans. Antennas Propagat.,Vol. 47, No.
4, 733-743, Apr. 1999.
[21] Farhang-Boroujeny, B., Adaptives Filters: Theory & Applications, John
Wiley & Sons, UK, 1998.
[22] T. T. Zhang, H. T. Hui, Y.L. Lu, "Compensation for the mutual
coupling effect in the ESPRIT direction finding algorithm by using a
more effective method," IEEE Trans. Antennas Propagat., Vol. 53,
pp.1552-1555, Apr. 2005.
[23] Nuri Yilmazer, Arijit Deb, Tapan K. Sarkar "Error associated with the
direction of arrival estimation in the presence of material bodies",
ELSEVIER, Digital Signal Processing 18 (2008) 919-939.
[24] A. L. Swindlehurst, "Robust Algorithm for Direction Finding in the
Presence of Model Errors," Proc. 5th ASSP Workshop on Spectrum
Estimation and Modelling. Rochester, New York, Oct 1990.
[25] F. Li and R. Vaccaro, "Statistical Comparision of Subspace Based DOA
Estimation Algorithms in the presence of Sensor Errors," Proc. 5th ASSP
Workshop on Spectrum Estimation and Modelling. Rochester, New
York, Oct 1990.
[1] H. Krim, M.Viberg, " Two Decades of Array Signal Processing
Research". IEEE Signal Processing Magzine, July 1996.
[2] R. Schmidt "Multiple emitter location and signal parameter estimation",
IEEE Trans. on Antennas and propagation, vol 34, No 3, pp. 276-280,
March 1986.
[3] B.D.Van Veen, K.M.Buckley, " Beamformin: A Versatile Approach to
Spatial Filtering", IEEE ASSP Magazine April 1988.
[4] Amr El-Keyi, T. Kirubarajan, "Adaptive beam space focusing for
direction of arrival estimation of wideband signals", ELSEVIER, Signal
Processing 88 (2008) 2063-2077
[5] Jung-Tae Kim, Sung-Hoon Moon, Dong Seog Han, and Myeong-Je
Cho, "Fast DOA Estimation Algorithm Using Pseudocovariance
Matrix", IEEE Transactions on Antenna and Propagation, Vol.53,
No.4,Nov 2005.
[6] M. A. Al-Nuaimi, R. M. Shubair, and K. O. Al-Midfa, "Direction of
Arrival Estimation In Wireless Mobile Communication Using Minimum
Veriance Distortion less Responses", The Second International
Conference on Innovations in Information Technology (IIT-05).
[7] D.R.Farrier, "Direction of Arrival Estimation by Subspace Methods",
CH2847-2/90/0000-2651, IEEE 1990.
[8] T. Murakami, Y. Ishida, "Fundamental frequency estimation of spreech
signals using MUSIC algorithm", Acoustic Science & Technology, 22,
4(2001).
[9] A. Randazzo, M.A.Abou-Khousa, "Direction of Arrival Estimation
Based on Support Vector Regression: experimental Validation and
Comparison with MUSIC", IEEE Antenna and Wireless Propagation
Letters, Vol.6, 2007.
[10] Gupta, I.J., and Ksienski, A.A.: ÔÇÿEffect of mutual coupling on the
performance of adaptive arrays-, IEEE Trans. Antennas Propag., 1983,
31, pp. 785-791.
[11] B. Friedlander, "A sensitivity analysis of the MUSIC algorithm," IEEE
Trans. Acoust., Speech, Signal Processing, Vol. 38, pp.1740-1751, Oct.
1990.
[12] Dimitris G. Manolakis, Vinay K. Ingle, Stephen M. Kogon, Statistical
and Adaptive Signal Processing, ARTECH HOUSE, INC.
[13] S.Haykin, array signal processing, New Jersey: Prentice-Hall.
[14] H. T. Hui, "A practical approch to compensate for the mutual coupling
effect of an adaptive dipole array," IEEE Trans. Antennas Propagat.,
Vol. 52, pp.1262-1269, May 2004.
[15] H. Rogier, E. Bonek, " Analytical spherical-mode-based compensation
of mutual coupling in uniform circular arrays for direction -of-arrival
estimation", ELSEVIER, (AEU) 60 (2006) 179-189.
[16] Xu Xu, Z. Ye, Y. Zhang, " DOA Estimation for Mixed signals in the
Presence of Mutual Coupling", IEEE Transactions on Signal
Processing,Vol.57, No.9,Nov 2009.
[17] Jung-Tae Kim, Sung-Hoon Moon, Dong Seog Han, and Myeong-Je Cho,
"Fast DOA Estimation Algorithm Using Pseudocovariance Matrix",
IEEE Transactions on Antenna and Propagation, Vol.53, No.4,Nov
2005.
[18] Amr El-Keyi, T. Kirubarajan, "Adaptive beam space focusing for
direction of arrival estimation of wideband signals", ELSEVIER, Signal
Processing 88 (2008) 2063-2077.
[19] M. L. McCloud and L. L. Scharf, "A new subspace identification
algorithm for high resolution DOA estimation", IEEE Transactions on
Antenna and Propagation, Vol.50, pp. 1382-1390, Oct 2002.
[20] Lee, C. C. and J. H. Lee, "Design and analysis of a 2-D eigenspacebased
interference canceller," IEEE Trans. Antennas Propagat.,Vol. 47, No.
4, 733-743, Apr. 1999.
[21] Farhang-Boroujeny, B., Adaptives Filters: Theory & Applications, John
Wiley & Sons, UK, 1998.
[22] T. T. Zhang, H. T. Hui, Y.L. Lu, "Compensation for the mutual
coupling effect in the ESPRIT direction finding algorithm by using a
more effective method," IEEE Trans. Antennas Propagat., Vol. 53,
pp.1552-1555, Apr. 2005.
[23] Nuri Yilmazer, Arijit Deb, Tapan K. Sarkar "Error associated with the
direction of arrival estimation in the presence of material bodies",
ELSEVIER, Digital Signal Processing 18 (2008) 919-939.
[24] A. L. Swindlehurst, "Robust Algorithm for Direction Finding in the
Presence of Model Errors," Proc. 5th ASSP Workshop on Spectrum
Estimation and Modelling. Rochester, New York, Oct 1990.
[25] F. Li and R. Vaccaro, "Statistical Comparision of Subspace Based DOA
Estimation Algorithms in the presence of Sensor Errors," Proc. 5th ASSP
Workshop on Spectrum Estimation and Modelling. Rochester, New
York, Oct 1990.
@article{"International Journal of Electrical, Electronic and Communication Sciences:51502", author = "Lalita Gupta and R. P. Singh", title = "Array Signal Processing: DOA Estimation for Missing Sensors", abstract = "Array signal processing involves signal enumeration and source localization. Array signal processing is centered on the ability to fuse temporal and spatial information captured via sampling signals emitted from a number of sources at the sensors of an array in order to carry out a specific estimation task: source characteristics (mainly localization of the sources) and/or array characteristics (mainly array geometry) estimation. Array signal processing is a part of signal processing that uses sensors organized in patterns or arrays, to detect signals and to determine information about them. Beamforming is a general signal processing technique used to control the directionality of the reception or transmission of a signal. Using Beamforming we can direct the majority of signal energy we receive from a group of array. Multiple signal classification (MUSIC) is a highly popular eigenstructure-based estimation method of direction of arrival (DOA) with high resolution. This Paper enumerates the effect of missing sensors in DOA estimation. The accuracy of the MUSIC-based DOA estimation is degraded significantly both by the effects of the missing sensors among the receiving array elements and the unequal channel gain and phase errors of the receiver.
", keywords = "Array Signal Processing, Beamforming, ULA,Direction of Arrival, MUSIC", volume = "5", number = "3", pages = "276-4", }
