UKF无迹卡尔曼滤波

无迹卡尔曼滤波（UKF）是一种改进的卡尔曼滤波方法，它在卡尔曼滤波的基础上进行了扩展以处理非线性系统。UKF通过使用sigma点集来对下一时刻状态进行预测，并通过非线性映射对sigma点集进行扩充，从而避免了复杂非线性函数雅可比矩阵的复杂计算，并保证了对非线性系统的普遍适应性。此外，UKF还通过扩展高斯分布的sigma点集来抑制噪声的影响。因此，UKF在处理非线性系统时具有一定的优势。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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- *3* [转弯模型（Coordinate Turn，CT）无迹卡尔曼滤波（UKF），matlab代码](https://download.csdn.net/download/monologue0622/88218055)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 33.333333333333336%"]
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