Performance of range and velocity estimation in a multistatic radar network with receiver swarms

Abstract

This research provides an analysis of the theoretical performance of a multistatic radar system comprised of a single active LFM transmitter and many distributed receivers within a swarm. The Cramér-Rao Lower Bounds on the range and velocity estimation errors of a subset of receivers, including the best performers within the swarm, are used as a performance metric and a Monte-Carlo approach is used to simulate the vignettes containing random distributions of node locations. The performance improvement based on the receiver swarm containment volume and number of receivers within the swarm are presented.

Multistatic radar distribution geometry effects on parameter estimation accuracy

“…Further, the work extends the previous research in Ref. [14] by transitioning to concentrate on the equivalent joint‐multi‐perspective (or multistatic) parameters. A framework within which the multistatic parameter estimation capabilities of such a system may be analysed through the use of the bistatic parameter estimation capabilities of the constituent parts is described, and results demonstrating this usage are presented.…”

“…A thorough treatment of this was given in Ref. [14]. It is then possible to compute (4) by taking the partial derivatives with respect to these variables, thus giving the bistatic parameter CRLBs.…”

“…The concept of the swarm multistatic system architecture (single-Tx-many-Rx) was proposed in previous work; however, the parameter estimation problem was constrained to a consideration of only the bistatic parameters [14]. In this work, the Rx distribution within the physical containment space defined by the swarm geometry was random.…”

Securing Your Airspace: Detection of Drones Trespassing Protected Areas

“…Multistatic radars expand on the bistatic concept by utilizing multiple receivers and, in some cases, multiple transmitters [77]. This configuration offers enhanced coverage and detection capabilities, as multiple perspectives on the target can reveal its position and movement with greater accuracy and robustness against countermeasures [78][79][80][81][82]. Multistatic setups can effectively detect stealth aircraft, which are designed primarily to evade monostatic radars, by exploiting the varied angles of incidence and reflection captured by the dispersed receivers.…”