Abstract-To improve location accuracy, a single-step localization algorithm by double fixed station, using the thought of "signal to position" is proposed to solve the problem of two-step conventional method's information loss, since two-step conventional method divides in estimating intermediate parameter and geolocation. First, the observed signal model is analyzed and problem's mathematical model is generalized. Next, the cost function is formulated based on maximum likelihood estimator (MLE) and simplified as the maximal eigenvalue of hermite matrix. Then, the geographical location maps in twodimensional sector-grid based on angel of arrival (AOA), afterward, the algorithm process is introduced. Finally, simulation results demonstrated that the proposed DPD algorithm outperforms the two-step conventional algorithm in location accuracy, and when signal to noise ratio (SNR) of the same observed signals is -5dB, the root mean squared error (RMSE) of proposed algorithm reduce the errors of 47% in typical scene.
The size estimation of space target is useful to help monitor the collision of space targets. The traditional methods cannot obtain accurate size of three-axis stabilized targets via narrow-band radar. This paper presents a new algorithm based on cross-range profile. Through single range cell motion compensation and cross-range scaling, we can finally make the estimation of cross-range length. Simulation results verify the effectiveness of the algorithm.
Abstract. In this paper, we propose a cooperative localization method for moving source using time difference of arrival (TDOA) and frequency difference of arrival (FDOA) measurements. Research on cooperative localization of moving source is an important topic to solve the passive source localization problem in different fields, such as radar, sonar, navigation, wireless communications and so forth. We investigate the improvement in source estimation accuracy. In the cooperative localization structure, a cooperative localization method based on quasi-Newton (QN) approach and two-step weighted least-squares (TSWLS) method is designed. The research results prove that the source localization accuracy has been improved effectively by using cooperative localization method based on QN-TSWLS method.
The direction finding accuracy of phase interferometer is severely impaired in the presence of phase ambiguity. In this paper, a novel solving ambiguity algorithm is proposed to solve this problem, which is suitable for uniform circular array with arbitrary number of sensors without the need of unambiguous baseline. The basic idea of the proposed algorithm is searching for an optimal solution within the range of ambiguity number. Several computer simulations are carried out to illustrate the correctness and validity of the proposed algorithm.
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