{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/9606"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/9606","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"The location-estimating, null-steering (LENS) algorithm for adaptive microphone-array processing","abstract":"This document develops and evaluates the Location-Estimating, Null-Steering (LENS) algorithm for adaptive array beamforming in the case of a. known target location. Such beamformers are useful in spatial-filtering applications that enhance a desired target source while attenuating non-target, jammer sources in a given environment. Although LENS is designed for general beamforming purposes, this document em­phasizes the use of LENS to create a background-noise-reducing hearing aid. LENS processing is innovative in that it uses a novel robustness-control mechanism to yield a beamformer that avoids target cancellation under adverse conditions. Most traditional beamforming systems realize robustness control through the use of con­straints in the beamforming optimization, which is an approach that is both indirect and difficult to understand. LENS, on the other hand, achieves direct and obvious ro­bustness control by separating robustness control from the beamforming optimization in the following two-step procedure: first it solves a minima.By-constrained beamform­ing optimization in terms of the LENS parameter set [beta]_oct , and then it evaluates and ... The advantages of LENS processing are not limited to improved system robust­ness, however. Its design allows implementation using a relaxation-based approx­imation to direct-solution LENS procGssing (the LENS equiwdent of direct covari­ance matrix inversion processing for traditional systems). Simulations demonstrate that this relaxation-based implementation can combine efficient implementation, fast beamformer adaptation, and good beamforming performance, which is difficult to achieve with traditional systems.","abstract_html":"This document develops and evaluates the Location-Estimating, Null-Steering (LENS) algorithm for adaptive array beamforming in the case of a. known target location. Such beamformers are useful in spatial-filtering applications that enhance a desired target source while attenuating non-target, jammer sources in a given environment. Although LENS is designed for general beamforming purposes, this document em­phasizes the use of LENS to create a background-noise-reducing hearing aid. LENS processing is innovative in that it uses a novel robustness-control mechanism to yield a beamformer that avoids target cancellation under adverse conditions. Most traditional beamforming systems realize robustness control through the use of con­straints in the beamforming optimization, which is an approach that is both indirect and difficult to understand. LENS, on the other hand, achieves direct and obvious ro­bustness control by separating robustness control from the beamforming optimization in the following two-step procedure: first it solves a minima.By-constrained beamform­ing optimization in terms of the LENS parameter set [beta]_oct , and then it evaluates and ... The advantages of LENS processing are not limited to improved system robust­ness, however. Its design allows implementation using a relaxation-based approx­imation to direct-solution LENS procGssing (the LENS equiwdent of direct covari­ance matrix inversion processing for traditional systems). Simulations demonstrate that this relaxation-based implementation can combine efficient implementation, fast beamformer adaptation, and good beamforming performance, which is difficult to achieve with traditional systems.","abstract_has_math":false,"creators":["Desloge, Joseph Gilles"],"institution":"Massachusetts Institute of Technology","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science","school":null,"contributors":[],"advisors":["William M. Rabinowitz."],"committee_chairs":[],"committee_members":[],"year":1998,"date_issued":"1998","date_published":"1998","updated_at":"2026-07-22T22:21:37Z","subjects":["Electrical Engineering and Computer Science"],"languages":["eng"],"rights":["M.I.T. theses are protected by copyright. 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