A target position can be estimated using position information from scattered signals in the nonline-of-sight propagation environment in a single observer location system. There is always an error in the final estimated result of the position obtained using scatter signals because measurement noise is inevitable. To reduce the total error of the system, we propose a method of converting the problem of optimizing location into a one of solving the extremes of the constraints. And the problem of how to solve the extremes of the constraints is converted into an unconstrained problem by using the constrained total least squares (CTLS) method. Finally, the Newton iteration method is used to obtain the optimized solution. Simulation results also verify the capability of this method.

This paper proposes an algorithm, called circle fitting algorithm, for locating targets by using maneuverable single station in non-line-of-sight environment. This algorithm estimates the position and scattering distance of all scatters based on the circular motion character. The pseudo-target trajectory is calculated from observation results from different observation positions. With scatters regarded as virtual observation stations, the problem of single station location can be converted into a problem of multi-station location. Finally, the traditional multi-station location algorithm is used to estimate target position. Simulation results prove that the proposed method is effective.

No abstract

No abstract

No abstract