This paper proposes a decentralized Image Feature-based Space-Time Processing (IFSTP) algorithm in Airborne Orthogonal Netted radar (AON-IFSTP) for the detection of ground moving targets, and evaluates its detection performance. Firstly, the iso-range clutter locus of Airborne Orthogonal Netted Radar (AONR) in Angle-Doppler domain is discussed and a closed-form locus in a special case is derived. Then, the distinct image features shown by targets and interference signals are revealed, and the applicability of the IFSTP to AONR is discussed. Thirdly, the implementation of AON-IFSTP is summarized. Finally computer simulations are conducted. The results show that AON-IFSTP avoids the difficulty of the clutter covariance estimation and is suitable for the application to highly inhomogeneous environment. It is also found that the spatial diveristy can combat detection performance degradations induced by fluctuations of target radar cross section and small radial velocity of target.
