We present an algorithm for direction-of-arrival (DOA) tracking that allows
operation below the ambiguity threshold of the direction-finding (DF) syst
em. Using multiple target tracking techniques, the algorithm turns the most
likely DOAs of each measurement into multiple potential tracks and then se
lects the true track as that with the maximum cumulative likelihood. The im
provement offered by the algorithm, namely the extension of the ambiguity-f
ree signal-to-noise ratio (SNR) domain, is demonstrated in several simulate
d experiments using several array structures, including a sparse array and
a uniform linear array.