This brief proposes a method which allows for automation of the design of crossover networks for loudspeakers. The algorithm utilizes a combination of Genetic Algorithm and Least Squared Error Frequency Domain Design to find optimal type 1 FIR-filters fitting a target. The algorithm takes magnitude response, group delay, directivity index and displacement into account. Based on a two-way loudspeaker, the algorithm is capable of finding a crossover network which results in the final loudspeaker having a flat magnitude response from 105 Hz– 16 kHz ±  1.6 dB on-axis, where the directivity index is minimized and displacement limits are not exceeded

Authors: Claumarch, Christian; Kiis Jensen, Kasper; Krogh Simonsen, Mikkel
Affiliation: Aalborg University, Aalborg, Denmark
AES Convention: 143 (October 2017) eBrief:355
Publication Date: October 8, 2017
Subject: Posters—Part 1

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