Parameter Estimation for Uniformly Accelerating Moving Target in the Forward Scatter Radar Network

Abstract

Passive radar based on the global navigation satellite positioning system (GNSS) has become the focus of attention in the field of radar. A parameter estimation method is proposed in the forward scatter radar (FSR) network based on GNSS to extend the application scenarios. For uniformly accelerating moving targets, only the instant times when the target crosses the individual baselines are used to retrieve the target motion parameters. The target position, velocity, and acceleration information can be obtained. Firstly, the minimum network configuration is derived theoretically. Then, the effects of crossing time error, station location error, transmitting/receiving station deployment, and target height on the accuracy are analyzed through Monte Carlo simulations. Finally, the simulation results indicate that the target position estimation error is in the order of 100 m. This paper provides the fundamental theory of aerial target positioning with a GNSS-based FSR network.

Target Acceleration Estimation in Active and Passive Radars

“…In the range direction, the echo can be understood as a Gaussian bell with a small time spread parameter σ t → 0, whereas in the slow time direction, one can see a Gaussian bell with a large spread σ r → ∞. This assumption is also essential for active radar cases, where the same model was derived in (21).…”

“…This method was chosen because it is unbiased and precisely estimates target acceleration. Other, more efficient methods usually assume some simplifications like uniform acceleration in forward scattering geometry [21]. The main goal of the comparison was to verify the proposed method efficacy comprising computation time reduction.…”

“…This approach, however, requires several transmitting or receiving stations, increasing the system's complexity. Similarly, in [21], the radar network is used to estimate uniformly accelerating target parameters; however, the work is devoted only to the forward scattering scenario. There are also other methods of estimating the parameters of target movement.…”