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In this paper, an algorithm is proposed to estimate starting frequency (SF), chirp rate (CR), 2-D direction-of-arrivals (DOA) and polarization of coherent chirp signals with vector sensor arrays. The fractional Fourier transformation (FRFT) is used to estimate SF and CR of chirp signals in this method. And a new correlation matrix is reconstructed to suppress the noise. The property of the vector sensor array is employed to solve the problem of insufficient rank from signal coherence. The L-shaped uniform array of expend aperture is used to improve the precision of estimation, and the method of solving the ambiguity of angle under the condition of coherent signals is presented. The performance of this algorithm is compared with that of spatial smoothing method to verify the efficacy of this approach.
In this paper, an algorithm is proposed to estimate starting frequency (SF), chirp rate (CR), 2-D direction-of- arrivals (DOA) and polarization of coherent chirp signals with vector sensor arrays. ) is used to estimate SF and CR of chirp signals in this method. And a new correlation matrix is reconstructed to suppress the noise. The property of the vector sensor array is employed to solve the problem of insufficient rank from signal coherence. The L- shaped uniform array of expend aperture is used to improve the precision of estimation, and the method of solving the ambiguity of angle under the condition of coherent signals is presented. The performance of this algorithm is compared with that of spatial smoothing method to verify the efficacy of this approach.