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Adaptive antennas can suppress the interference efficiently,
when thedirectionvector of the desired signal (steering vector)
is correctly set. However, for an imperfect steering vector, the
adaptive antenna array tends to suppress not only the
interference but also the desired signal. Various kinds of error
may exist in the steering vector, for example, error caused by
the assumption that the signal source is at the far-field range,
while in general, it is not. To alleviate the performance
degradation caused by the finite-distance signal source, we
first appply the eigenspace-based beamformer to correct the far-
field steering vector and analyze its performance. Then, we
develop an adaptive array based on the reconstructive Toeplitz
structure of the correlation matrix and examine its performance
by computer simulations. Finally, we propose a partial adative
array which combines the eigenspace-based beamformer and the
adaptive array with weights computed by the reconstructive
Toeplitz structure of correlation matrix.
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