The 4-level spherical subspace tracker tracks the dominant or subdomin
ant subspace associated with an input vector time series. The tracker
maintains four distinct eigen-levels which can be used with the Minimu
m Description Length (MDL) criterion to make subspace dimension adjust
ments on the fly. This is important as the associated subspace based d
irection finding algorithms require knowledge of the subspace rank. In
systems involving large radar or sonar arrays, the achievable perform
ance will often be limited by the real time MIPS rate. Hence, in this
paper the 4-level spherical subspace tracker is parallelized and seque
nced to execute on systolic MIMD architectures. The systolic MIMD arch
itectures are ideally suited for implementation with custom CORDIC VLS
I or networks of available parallel numeric processing chips such as i
Warps and TMS320C40's, Pseudo C-language cell programs specify the fun
ctionality and timing of the architecture using the fine grain MIMD/sy
stolic model of computation.