Hoffmann, RudolfRudolfHoffmannNeuberger, NadavNadavNeubergerVehmas, RistoRistoVehmas2022-03-142022-03-142021https://publica.fraunhofer.de/handle/publica/41173510.1109/RadarConf2147009.2021.9455173Distributed phased array radar networks provide an improved target detection and parameter estimation performance due to extended spatial coverage and multiple observation perspectives. By increasing a network's baseline, these capabilities can be further enhanced. However, the spatial area that the Rx stations need to cover increases with growing baselines, requiring a high number of Rx beams. This poses a challenge, since the number of receiving channels is often limited by hardware or software. Therefore, designing the Rx beamformer is a key factor for baseline extension and network performance. In this paper, we analyze the use of two different beamformers for a bistatic network configuration: a commonly used sum beam method and a recently proposed eigenbeamformer. The numerical results demonstrate the superiority of the eigenbeamformer in parameter estimation accuracy, resource efficiency and baseline extension ability.en621Rx Beamforming for Long Baseline Multistatic Radar Networksconference paper