<?xml-stylesheet type="text/xsl" href="https://community.element14.com/cfs-file/__key/system/syndication/rss.xsl" media="screen"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:slash="http://purl.org/rss/1.0/modules/slash/" xmlns:wfw="http://wellformedweb.org/CommentAPI/"><channel><title>Xsens MTi-680-DK: Experimenting with performance - Part 1</title><link>/products/roadtest/b/blog/posts/xsens-mti-680-dk-experimenting-with-performance-1046641111</link><description>When dealing with high(er) performance pieces of equipment, it&amp;#39;s very important to understand what all those numbers in the datasheet mean in the real-world. For example, for a particular use case, you may ask yourself whether you need to use a MTi-6</description><dc:language>en-US</dc:language><generator>Telligent Community 12</generator><item><title>RE: Xsens MTi-680-DK: Experimenting with performance - Part 1</title><link>https://community.element14.com/products/roadtest/b/blog/posts/xsens-mti-680-dk-experimenting-with-performance-1046641111</link><pubDate>Tue, 25 Oct 2022 14:42:35 GMT</pubDate><guid isPermaLink="false">93d5dcb4-84c2-446f-b2cb-99731719e767:655ce17d-41f8-45c9-825a-4a70ce837ff3</guid><dc:creator>xsenssupport</dc:creator><slash:comments>1</slash:comments><description>&lt;p&gt;Hi [mention:b0ef1987566a449f88b5528635bdfc8a:e9ed411860ed4f2ba0265705b8793d05],&lt;/p&gt;
&lt;p&gt;Nice blog post, thanks for sharing!&lt;/p&gt;
&lt;p&gt;Your understanding of the Yaw behavior with different filter settings is indeed correct, and so is your assumption that the weight of magnetometer readings in the Yaw estimation algorithm is relatively low. This is because the MTi-680 GNSS/INS is designed to be used in more dynamic, outdoor applications where GNSS data are used to improve Roll, Pitch and Yaw estimates. For indoor or static applications, the MTi-630 AHRS might be a better option because it relies more on magnetometer readings.&lt;/p&gt;
&lt;p&gt;Furthermore, the MTi-680 is also available in a ruggedized, aluminum housing including an internal GNSS receiver: the MTi-680&lt;strong&gt;G&lt;/strong&gt;. Similarly, the MTi-630 is also available in ruggedized form: the MTi-630&lt;strong&gt;R&lt;/strong&gt;.&lt;/p&gt;&lt;img src="https://community.element14.com/aggbug?PostID=24559&amp;AppID=14&amp;AppType=Weblog&amp;ContentType=0" width="1" height="1"&gt;</description></item><item><title>RE: Xsens MTi-680-DK: Experimenting with performance - Part 1</title><link>https://community.element14.com/products/roadtest/b/blog/posts/xsens-mti-680-dk-experimenting-with-performance-1046641111</link><pubDate>Fri, 21 Oct 2022 05:28:19 GMT</pubDate><guid isPermaLink="false">93d5dcb4-84c2-446f-b2cb-99731719e767:655ce17d-41f8-45c9-825a-4a70ce837ff3</guid><dc:creator>dougw</dc:creator><slash:comments>2</slash:comments><description>&lt;p&gt;What is that digital protractor normally used for? I like the idea, but that one is huge.&lt;/p&gt;&lt;img src="https://community.element14.com/aggbug?PostID=24559&amp;AppID=14&amp;AppType=Weblog&amp;ContentType=0" width="1" height="1"&gt;</description></item><item><title>RE: Xsens MTi-680-DK: Experimenting with performance - Part 1</title><link>https://community.element14.com/products/roadtest/b/blog/posts/xsens-mti-680-dk-experimenting-with-performance-1046641111</link><pubDate>Thu, 20 Oct 2022 20:06:25 GMT</pubDate><guid isPermaLink="false">93d5dcb4-84c2-446f-b2cb-99731719e767:655ce17d-41f8-45c9-825a-4a70ce837ff3</guid><dc:creator>dougw</dc:creator><slash:comments>0</slash:comments><description>&lt;p&gt;Pretty impressive unit.&lt;/p&gt;&lt;img src="https://community.element14.com/aggbug?PostID=24559&amp;AppID=14&amp;AppType=Weblog&amp;ContentType=0" width="1" height="1"&gt;</description></item></channel></rss>