Cm. Cho et Pm. Djuric, BAYESIAN DETECTION AND ESTIMATION OF CISOIDS IN COLORED NOISE, IEEE transactions on signal processing, 43(12), 1995, pp. 2943-2952
In this paper, the problem of estimating the number of cisoids in colo
red noise is addressed, It is assumed that the noise can be modeled by
an autoregression whose order has also to be estimated, A new criteri
on is proposed for estimating the number of cisoids and the autoregres
sive model order, as well as a new algorithm for estimating the cisoid
al frequencies, In the derivation, a Bayesian methodology and subspace
decomposition are employed, The proposed criterion significantly outp
erforms the popular MDL and AIC as applied in a paper by nagesha and K
ay. In addition, an algorithm that reduces the computational complexit
y of the solution is developed, Computer simulations that demonstrate
the performance of the criterion are included.