Different and better algorithm for attitude match of transfer alignment

Ref.3 authored by Kain et al presented an attitude match measurement equation (AMME) without derivation; it is much simpler than traditional ones. We utilize Ref.3's AMME after derivation. The insight gained through such derivation allows us to propose an algorithm that is different from that of Ref.3. It is better than Ref.3's algorithm in that it is not limited to rapid transfer alignment. It is better than traditional algorithms because it is much simpler and the computation load is much less. In the full paper, we explain our algorithm in some detail. In this abstract, we just add some pertinent remarks to listing the two topics of explanation. The first topic is: the modeling of AMME. In this topic, we utilize after deriving the relationship given by Kain et al in Ref.3 among the platform misalignment, measurement misalignment and physical misalignment as shown in Fig.1 of the full paper. The second topic is: simulation and analysis. In this topic, we simulate traditional attitude measurement equation, traditional attitude matrix measurement equation and our AMME using the method of both velocity match and attitude match. The simulation results given in Table 1 and Fig.2 show preliminarily that under the same simulation conditions, all the three measurement equations (two traditional ones and ours) are equally precise in estimating transfer alignment errors, the precision being less than 1 arc second. The simulation results also show that our AMME obtains measurement matrices through utilizing the attitude matrix of the slave SINS, thus reducing computation load.