Abstract:

Direction of arrival (DOA) estimation is an important issue in monostatic multiple input multiple-output (MIMO) radar signal processing. For conventional DOA estimation methods, performance degradation occurs with low signal to noise ratio and small samples. A novel DOA estimation method called reduceddimensional unitary estimation of signal parameters via rotational invariance technique (ESPRIT) is proposed. Firstly, the received data is transformed into a low dimensional signal space via the reduced dimensional transformation. Then, the real valued rotational invariance equations for the low dimensional signal subspace are constructed to estimate DOAs. Numerical examples are given to demonstrate that the proposed algorithm can provide increased DOA estimation accuracy and reduced computational complexity compared with the conventional ESPRIT algorithms.