SLFM: A new DOA estimator for wideband signals

This paper introduces a new direction- of arrival(DOA) estimation algorithm for wideband sources called source line fitting method(SLFM). Unlike other coherent wideband methods, such as CSSM, TOPS and WAVES, the new method does not require to decompose wideband signals into multiple frequency components. Instead, it uses time delay information directly to construct the source lines, each of which corresponds to a wideband source, then estimates the DOAs by measuring the angle of source lines, and that is the reason it is called SLFM. The main advantage of SLFM is that it works well when the inter-element spacing of the array is much larger than wavelength, which is usually used to combat multipath fading. Computer simulation is presented to illustrate the effectiveness of SLFM.

[1]  Alessandro Neri.  Optimal detection and estimation of straight patterns , 1996, IEEE Trans. Image Process..

[2]  Tien Pham,et al.  Adaptive wideband aeroacoustic array processing , 1996, Proceedings of 8th Workshop on Statistical Signal and Array Processing.

[3]  P. Russer,et al.  Wideband direction-of-arrival estimation using spatially interpolated wideband beamformers , 2004, IEEE Antennas and Propagation Society Symposium, 2004..

[4]  Anil K. Jain.  Fundamentals of Digital Image Processing , 2018, Control of Color Imaging Systems.

[5]  Raffaele Parisi,et al.  WAVES: weighted average of signal subspaces for robust wideband direction finding , 2001, IEEE Trans. Signal Process..

[6]  Shahrokh Valaee,et al.  Wideband array processing using a two-sided correlation transformation , 1995, IEEE Trans. Signal Process..

[7]  Hamid K. Aghajan,et al.  Sensor array processing techniques for super resolution multi-line-fitting and straight edge detection , 1993, IEEE Trans. Image Process..

[8]  Hongxia Wang,et al.  Direction-Of-Arrival Estimation and Adaptive Beamforming of Wideband Signal Using Frequency-Domain Processing Approaches , 2007, 2007 International Conference on Wireless Communications, Networking and Mobile Computing.

[9]  H. B. Lee,et al.  The Cramer-Rao bound on frequency estimates of signals closely spaced in frequency (unconditional case) , 1994, IEEE Trans. Signal Process..

[10]  K. Abed-Meraim,et al.  Multi-line fitting and straight edge detection using polynomial phase signals , 1997, Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136).

[11]  Esa Ollila,et al.  Advances in Direction-of-arrival estimation , 2006 .

[12]  Hong Wang,et al.  Coherent signal-subspace processing for the detection and estimation of angles of arrival of multiple wide-band sources , 1985, IEEE Trans. Acoust. Speech Signal Process..

[13]  James H. McClellan,et al.  TOPS: new DOA estimator for wideband signals , 2006, IEEE Transactions on Signal Processing.

[14]  Ta-Sung Lee,et al.  Efficient wideband source localization using beamforming invariance technique , 1994, IEEE Trans. Signal Process..