Abstract
Degree of freedom (DOF) of clutter in the reduced-dimension (RD) domain, which is called local DOF (LDOF), is of great importance for RD MIMO-STAP (space-time adaptive processing for multiple-input multiple-output radar) algorithms. In this paper, the LDOF equivalence of different RD MIMO-STAP algorithms are firstly proved, and then a generalized LDOF estimation rule under different conditions is developed to estimate the clutter LDOF for MIMO radar effectively. The accuracy of the proposed rule is verified, and how to design RD MIMO-STAP processors under the guidance of the proposed rule is presented through numerical simulations.
Highlights
Airborne radar system explores space-time adaptive processing (STAP) technique to detect slow-moving targets under strong ground clutter [1, 2]
There are 23 classes of typical transformation matrix according to the projected domain of the original signal, we only focus on 4 classes of RD multiple-input multiple-output (MIMO)-STAP algorithms, which are extended directly from RD STAP algorithms for single-input multipleoutput (SIMO) radar named element-space pre-Doppler algorithm, element-space post-Doppler algorithm, beamspace pre-Doppler algorithm, and beam-space pre-Doppler algorithm [7]
In the case of M = 1, the MIMO radar will be degenerated to the SIMO radar case, and our estimation rule is automatically reduced to the generalized form of clutter local DOF (LDOF) formulas proposed in [17], where the influence of β is not necessary to be analyzed
Summary
Airborne radar system explores space-time adaptive processing (STAP) technique to detect slow-moving targets under strong ground clutter [1, 2]. We develop the estimation rule of clutter LDOF for airborne MIMO radar with linear array, and the complete proof of the proposed rule is presented. There are 23 classes of typical transformation matrix according to the projected domain of the original signal, we only focus on 4 classes of RD MIMO-STAP algorithms, which are extended directly from RD STAP algorithms for SIMO radar named element-space pre-Doppler algorithm, element-space post-Doppler algorithm, beamspace pre-Doppler algorithm, and beam-space pre-Doppler algorithm [7] This is because these 4 algorithms are usually utilized in practice and the proofs for the other 4 algorithms are similar to the previous ones.
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