| 主权项 |
1. A method, comprising:
performing, by one or more processors, a down conversion of an input signal by a predetermined frequency to generate a baseband signal; iteratively performing, by the one or more processors using a first estimator parameter, a first adaptive linear estimation on the baseband signal to generate a state vector associated with the input signal, wherein the baseband signal comprises a plurality of component signals in the presence of noise, wherein the state vector is a function of the component signals, and wherein the first estimator parameter comprises a state transition matrix; iteratively performing, by the one or more processors using a second estimator parameter, a second adaptive linear estimation on the state vector to generate a plurality of parameter vectors, wherein the each of the plurality of parameter vectors corresponds to a respective one of the plurality of component signals, and wherein each of the parameter vectors is a function of one or more signal parameters corresponding to the respective one of the plurality of component signals; iteratively updating the first estimator parameter based at least in part on one of the plurality of parameter vectors or the second estimator parameter; iteratively updating the second estimator parameter based at least in part on one of the state vector or the first estimator parameter; and iteratively estimating, by the one or more processors, based at least in part on the plurality of parameter vectors and the state vector, the one or more signal parameters associated with the input signal. |
