Moving nodes tracking algorithm realized in colored noise by randomly deployed planar sensor array
Nie Wei-k · Transducer and Microsystem Technologies · 2014
A new subspace tracking algorithm based on instrumental variable is proposed to estimate the two dimension(2D) localization of aiming at tracking problem of spacial moving nodes in colored noise.By using the rank-one update model,two unconstrained cost functions are established,and signal subspace is derived through the recursive least square solution of the cost functions.Using this derived signal subspace,construct matrix equation and through lease square solution realize direction tracking of spacial moving node,the obtained 2D spacial angle can be paired automatically.In the case of arbitrary planar sensor array,the proposed algorithm and the well known EIV-PAST have good node tracking characteristics,signal subspace angle,signal subspace error are small,the orthonormality performance of proposed algorithm is much better than EIV-PAST algorithms.