The auxiliary array optimization is the key to performance of
interference cancellation, especially for the wide operating frequency
of radio communication and unknown direction of interference. The blind
area rule is established and the minimum blind area model is proposed
for auxiliary array optimization. After deriving and simplifying the
analytical solutions of weights and signal-to-interference-noise ratio
after cancellation, the proposed rule inherits communicable index of
radio and requirements of anti-jamming, greatly reducing complexity. The
proposed algorithm focuses on minimizing blind area after cancellation
in view of this rule. Hence, it leads to a remarkable improvement of
optimization efficiency with different direction of arrival of
interference and wide-band operating frequency. Experiments based on
communication radio demonstrate that the minimum blind area model is
much efficient and promising for auxiliary array optimization of
anti-interference.