A passive, multi-static radar system

A Novel Target Detection Method Based on Multi-Parameter Space for Mobile Passive Multistatic Radar

“…However, due to its large baseline angle, errors may arise, rendering it unsuitable for target detection in a short baseline scenario in 3D space. In the model proposed in this paper, the receiver is located closer to the illuminators of opportunity, while the target is farther away, as shown in Figure 2, and a Cartesian coordinate system is established based on the right-hand rule [22]. In this case, the baseline of the model is short, and the Doppler frequency rate needs to be approximated by other methods.…”

Direct Cartesian localization in passive MIMO radar networks

“…This is complicated in single frequency networks, in which plot-to-transmitter assignments are also required [8]- [10]. Fifth, associated plots are fused to determine Cartesian target position [11]- [13] and velocity [14]. Finally, the resulting localized targets are then 978-1-4799-4195-7/14/$31.00 c 2014IEEE.…”

“…First, only a subset of the available measurements are fused to estimate the Cartesian target state. For instance, a common approach solves for the intersections of bistatic ellipsoids, which utilizes only bistatic range information [11]- [13]. Although bistatic Doppler and angle may be used to resolve ghost targets (i.e., apparent targets at the intersections of bistatic ellipsoids that originate from distinct targets), approaches that fuse this additional target information would likely achieve better accuracy.…”