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They play an essential role in meeting the demands for high\u2010capacity, high\u2010speed, and low\u2010latency communication brought about by technological advancements. However, existing mmWave channel estimation schemes rely on idealized common sparse channel support assumptions, and their performance significantly degrades when encountering beam squint scenarios. To address this issue, this paper introduces a dynamic support detection window (DSDW) algorithm. This algorithm dynamically adjusts the position and size of the window based on the received signal strength, thereby better capturing signal strength variations and obtaining a more complete set of signal supports. The DSDW algorithm can better capture and utilize the sparsity of the channel, improving the efficiency and accuracy of the channel state information acquisition. By combining the beam\u2010split pattern (BSP) algorithm with the DSDW algorithm, this paper designs an effective method to address the inherent beam\u2010spreading problem in mmWave scenarios. 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