| Summary: | 碩士 === 國立中正大學 === 通訊工程研究所 === 95 === With scientific and technological progress in stealth aircraft and antiradiation missiles (ARM), there are four types of threats to radars. However, multistatic radar can resist these threats effectively. Therefore, an increasing number of researchers have developed multistatic radar over the past few years. Some estimation techniques for target location using the multistatic radar have been proposed, e.g. the time of arrival (TOA) position location (PL) technique, the angle of arrival (AOA) PL technique and a hybrid of the TOA and AOA PL techniques. The conventional TOA PL technique employs the least square (LS) method to estimate target location. When the measurement error of a certain receiver is far greater than the measurement error of other receivers (we call it great error), the location accuracy is seriously affected. In this thesis, we propose an algorithm to cancel the effect of great error. The performance measure on location estimation is the root mean square error (RMSE). Using simulation, we demonstrate that the proposed algorithm is superior to the conventional TOA algorithm.
We also propose two position algorithms. One of the proposed algorithms employs the LS method to estimate target location based on an AOA measurement. The other one employs the weighted least square (WLS) method to estimate the target location based on the TOA and AOA measurements. Based on the simulation results, we know that the root mean square error (RMSE) is reduced when the number of combined receivers is increased.
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