A New Robust Multi-station Direction Finding Cross Algorithm
Abstract
During the multi-station direction finding cross positioning, instable or divergent positioning evaluation result, even invalid situation will occur caused by unreasonable sensor allocation, and analyzes the causes of ill-condition in traditional localization algorithm Therefore, this paper puts forward a kind of stable positioning method based on singular value decomposition modification. The method doesn’t require the station allocation greatly and could consider the resolution and variance assessed by positioning parameter effectively. It realizes effective inhibition to the random observation noise in the observation equation and has better engineering application value. The value simulation result indicates the positioning result is more precise and stable than traditional calculating method.
Keywords
Direction finding, Passive localization, Modified Singular Value Decomposition(MSVD), Robust estimation, Localization algorithm
DOI
10.12783/dtcse/cece2017/14425
10.12783/dtcse/cece2017/14425
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