A multimission radar (MMR) is employed on a wide range of civilian and military missions. The accuracy of the direction of arrival (DoA) estimation of MMR systems is an important issue when locating targets. In this work, a new approach to DoA estimation based on Graph Signal Processing (GSP) is applied to data from a multimission radar. A comparison of the GSP is carried out with classic DoA estimation algorithms, including Delay and Sum, Capon, and Multiple Signal Classification (MUSIC). A short aircraft trajectory is considered as a reference for estimating parameters such as DoA in azimuth, range and radial velocity, both for simulated and real-life signals. DoA in elevation is estimated for simulated data, considering the MMR architecture and target characteristics. Simulation results have shown that the proposed method achieves estimations with competitive accuracy in comparison to classical DoA estimation methods.

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