Subspace-based approach for DOA estimation using pilot symbol channel identification

In the paper, antenna processing is applied in the radio localisation frame. For a source of interest, the multipath directions of arrival (DOA) are estimated and the shortest/direct propagation path is identified. First, an unstructured estimate of the sampled channel impulse response is derived by use of pilot symbols. The channel response samples are then separately processed to recover the DOA of the relative paths. For stationary channels, it is suggested that smoothing be used in the case of a uniform and linear antenna array (ULA) to recover the source subspace. For fast fading channels, which is typically the case for high speed mobiles, it is shown that using a MUSIC like algorithm allows source subspace recovery by exploiting the gain diversity over a reduced number of slots with unchanged DOA and time delays. Separate processing of channel response samples reduces the constraint on antenna array size and allows comparison of the path lengths.

[1]  David Gesbert,et al.  Antenna Arrays for Mobile Communications , 1999 .

[2]  S. Unnikrishna Pillai,et al.  Forward/backward spatial smoothing techniques for coherent signal identification , 1989, IEEE Trans. Acoust. Speech Signal Process..

[3]  Randolph L. Moses,et al.  Efficient maximum likelihood DOA estimation for signals with known waveforms in the presence of multipath , 1997, IEEE Trans. Signal Process..

[4]  Jian Li,et al.  Maximum likelihood angle estimation for signals with known waveforms , 1993, IEEE Trans. Signal Process..

[5]  Athanasios Papoulis,et al.  Probability, Random Variables and Stochastic Processes , 1965 .

[6]  Jian Li,et al.  Computationally efficient angle estimation for signals with known waveforms , 1995, IEEE Trans. Signal Process..

[7]  Bhaskar D. Rao,et al.  Performance analysis of Root-Music , 1989, IEEE Trans. Acoust. Speech Signal Process..

[8]  Kon Max Wong,et al.  Determination of the number of signals in unknown noise environments-PARADE , 1995, IEEE Trans. Signal Process..

[9]  Björn E. Ottersten,et al.  Maximum likelihood array processing in spatially correlated noise fields using parameterized signals , 1997, IEEE Trans. Signal Process..

[10]  Jian Li,et al.  Angle estimator for signals with known waveforms , 1999 .

[11]  L. C. Godara,et al.  Applications Of Antenna Arrays To Mobile Communications, Part I: Performance Improvement, Feasibility, And System Considerations , 1997, Proceedings of the IEEE.

[12]  B. Zhou,et al.  Tracking the direction of arrival of multiple moving targets , 1994, IEEE Trans. Signal Process..

[13]  Ilan Ziskind,et al.  Detection of the number of coherent signals by the MDL principle , 1989, IEEE Trans. Acoust. Speech Signal Process..

[14]  Anna Lee,et al.  Centrohermitian and skew-centrohermitian matrices , 1980 .

[15]  R. O. Schmidt,et al.  Multiple emitter location and signal Parameter estimation , 1986 .