Abstract
To overcome the space-time adaptive processing (STAP) performance loss caused by discarding the non-uniform parts of difference coarray and copulse for coprime sampling structure under the condition of single-frequency operation, this paper proposes a new STAP algorithm to improve the precision of filter weight vector estimation by the dual-frequency operation. By selecting a single proper additional operation frequency, we can obtain the different coarray and copulse, thus fill two missed virtual sensors and pulses of the difference structures in the single-frequency operation simultaneously. Compared with the single-frequency operation, the dual-frequency operation method can acquire the bigger uniform linear array (ULA) and coherent processing interval (CPI) pulse train to improve the system degrees of freedom (DOF), and result in higher angle-Doppler resolution. In addition, the coprime array has the little mutual coupling effect because of the larger inter-sensors spacing. Therefore, the resulting method can alleviate mutual coupling and enhance the system DOF.
Highlights
Space-time adaptive processing (STAP) which can improve the ability of suppressing clutter and detecting targets plays a fundamental role in airborne radar [1]–[3]
The inter-sensors spacing of coprime array is larger than λ/2, and its mutual coupling effect is less severe than that
The FDC-STAP uses dual-frequency operation mode to fill the holes of the difference structure and improve the filter degrees of freedom (DOF), and its output SINR performance is optimal, coprime STAP (C-STAP), traditional STAP (T-STAP) in turn
Summary
Space-time adaptive processing (STAP) which can improve the ability of suppressing clutter and detecting targets plays a fundamental role in airborne radar [1]–[3] The traditional algorithms, such as reduced-rank [4]–[8], reduceddimension [9]–[11] and parameterized model [12]–[25] STAP usually have high detection precision based on the accurate space-time steering vector. Their performance degrades significantly and even cannot work in the presence of mutual coupling. The inter-sensors spacing of coprime array is larger than λ/2, and its mutual coupling effect is less severe than that. IM stands for the M × M identity matrix, and diag(a) represents a diagonal matrix whose diagonal elements are the column vector a
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