A novel ISAR imaging algorithm for maneuvering target based on parameter estimation method

Traditional range-Doppler (RD) imaging methods for maneuvering targets have low resolution and poor capability of noise suppression. Range-instantaneous-Doppler (RID) attracts more and more attention in recent years. In this paper, a novel ISAR imaging method for maneuvering targets based on an effective parameter estimation method called the product form of the simplified linear canonical transform (SLCT) of symmetric correlation function (PSLSCF) is proposed, which can provide well-focus image of target. In the proposed method, the azimuth echo can be firstly modeled as multi-component cubic phase signal (CPS) after preprocessing, which leads to the timevarying Doppler frequency. After reducing phase order by a symmetric correlation function, SLCT is employed to estimate two parameters of CPS simultaneously with high accuracy and production form in SLCT domain is able to suppress cross term effectively. Finally, associated with RID imaging technology, a novel ISAR imaging algorithm is presented based on PSLSCF method. Moreover, computation burden is analyzed according to main procedure. The performances of PSLSCF method and the corresponding high-resolution ISAR imaging algorithm of target are verified respectively by numerical signal, simulated and real data.