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Adaptive antenna array could decay interferences power well ,
if the total interferences power is more greater than desired
signal power. And that, if the interferences power are more
large , it will decay the interference more. So that, adaptive
antenna array is well applicated in sonar, radar and so on.
When the dimension of adaptive weights is large, the amount of
calculation is increased rapidly. It results in that adaptive
antenna array can't perform well on real time. So that, many
kinds of partially adaptive beamformer have been proposed. Van
Veen have proposed an method 'eigenstructure base partially
adaptive array ' to reduce the adaptive weight dimension. The
method is that extract the major signal subspaces from
correlation matrix of input data vector to be the reduce
order matrix. In this text, we will analyze the partially
adaptive beamformer when some errors occur. These errors
include steering vector error, weight vector error and
constrain angle bias. We will discuss how to choose the
adaptive weight dimension properly, when these errors occur.
In these analysis, we also find that choosing the dimension
properly not only reduces the amount of calculations but
also increases the robust of antenna for some error.
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