Three dimensional RF tomography using sparse waveforms

Robust calibration method for distributed ISAR time‐varying frequency errors based on the contrast maximisation principle

“…In order to overcome these inherent shortcomings of traditional monostatic ISAR and improve radar imaging performance, the distributed ISAR such as multiple‐input‐multiple‐output (MIMO)‐ISAR [5–9], bistatic ISAR [10–12] and multistatic ISAR [13–17] has attracted extensive research in recent years. The distributed ISAR can be divided into two categories: one is signal‐level coherent fusion distributed ISAR and the other is image‐level incoherent fusion distributed ISAR.…”

Calibration of Linear Time-Varying Frequency Errors for Distributed ISAR Imaging Based on the Entropy Minimization Principle

“…It is possible for this system to obtain spatial diversity of the targets’ radar cross section. Therefore, many scholars have studied multistatic ISAR and distributed MIMO-ISAR [6,7,8,9,10,11,12]. Compared with the traditional monostatic ISAR, distributed ISAR can achieve higher resolution and overcome some inherent drawbacks of monostatic ISAR by utilizing both spatial and temporal degrees of freedom.…”

High sidelobe analysis and reduction in multistatic inverse synthetic aperture radar imaging fusion with gapped data

“…Multistatic radar and distributed MIMO radar have the characteristics of spatial diversity and can obtain more abundant target information by irradiating the target from different angles [3, 4]. Therefore, many scholars began to study multistatic ISAR [5–9] and distributed MIMO‐ISAR [10, 11]. Compared with multistatic radars, distributed MIMO radars transmit orthogonal signals, and the echo signals can be separated through matched filtering.…”