面向户外多声源增强的鲁棒节点特定分布式广义旁瓣对消OA

With the rapid advances in ad-hoc network technique,wireless acoustic sensor networks(WASNs)with multiple microphone array nodes have emerged as a key technology for continuous monitoring in outdoor environments.For the task of simultaneous multi-source enhancement in such distributed systems,existing node-specific distributed gener⁃alized sidelobe canceler(NS-DGSC)possesses notable advantages including low communication overhead,low prior knowledge requirements,and low target distortion.However,practical outdoor WASNs often encounter node-redundant sce⁃narios where nodes outnumber target sources.Moreover,corresponding targets of interest may include non-intermittent sig⁃nals(e.g.,drones and tracked vehicles).Under such scenarios,the NS-DGSC suffers from target self-cancellation and severe performance degradation will arise.To address this issue,this paper proposes a robust node-specific distributed generalized sidelobe canceler(RNS-DGSC).First,microphone signals at each node are pre-filtered by a local generalized sidelobe can⁃celer(GSC)to produce preliminary enhancement for individual desired sources as the compressed signal.Then,for each node,compressed signals exchanged from other nodes are adaptively distinguished into target-dominant and interference-dominant categories by introducing a correlation check module based on minimum mean square error criterion,which can mitigate the node redundancy-induced fusion conflicts existing in the NS-DGSC.Afterwards,a temporal alignment module is designed at each node to address time delay compensation for these two categories of compressed signals using two differ⁃ent strategies,which enhances fusion quality of the desired signals and accelerates convergence in the subsequent secondary GSC.Finally,a secondary GSC is performed at each node,where all temporally aligned target-dominant compressed sig⁃nals are integrated into the primary branch and the aligned interference-dominant components constitute the auxiliary branch.Experimental results reveal that in node-redundant scenarios with multiple concurrent non-intermittent sources,the proposed RNS-DGSC not only retains the benefits of the NS-DGSC,but also delivers superior multi-source enhancement performance.Specifically,the RNS-DGSC achieves signal-to-interference-plus-noise ratio(SINR)improvement compara⁃ble to that of the centralized scheme across various network scales and SINR input conditions.Meanwhile,our algorithm presents over 50％improvement in signal-to-distortion ratio and exhibits superior robustness to steering vector estimation er⁃rors in comparison with existing methods.The RNS-DGSC thus provides a communication-efficient and reliable solution for continuous acoustic monitoring in complex open spaces.