<?xml version="1.0" encoding="UTF-8"?>
<reference anchor="I-D.melegassi-ippm-mvps-gddp" target="https://datatracker.ietf.org/doc/html/draft-melegassi-ippm-mvps-gddp-00">
   <front>
      <title>Geometric Dilution of Detection Precision for Multi-Vantage Path Snapshots</title>
      <author initials="L. M." surname="Costa" fullname="Leonardo Melegassi Costa">
         <organization>Catellix</organization>
      </author>
      <date month="July" day="6" year="2026" />
      <abstract>
	 <t>   GPS positioning accuracy degrades with anchor geometry; the effect
   is quantified by the well-known Geometric Dilution of Precision
   (GDOP).  Multi-vantage anomaly detection systems face the DUAL
   problem: how does anchor geometry affect DETECTION SENSITIVITY
   rather than localisation accuracy?

   This document formalises Geometric Dilution of Detection Precision
   (GDDP) for the Multi-Vantage Path Snapshot (MVPS) framework
   [I-D.melegassi-ippm-mvps-bundle].  The minimum displacement that
   a multi-vantage detector can reliably distinguish from measurement
   noise is NOT a single number: it is an anisotropic scalar field
   d*(v, theta) over the Earth&#x27;s surface, governed by the geometry of
   the anchor set relative to each vantage.

   Three main results are proved:

   (1) GDDP Theorem (T-GDDP-1): d*(v, theta) admits a closed-form
       expression in terms of the Fisher Information of the anchor-
       to-vantage RTT-ratio vector.  The directional detection threshold
       is d*(theta) = sqrt(chi2_crit / I(theta)), where I(theta) is
       the Fisher Information in direction theta.  This is the
       Cramer-Rao bound applied to detection.

   (2) Anisotropy Lemma (L-GDDP-2): every vantage has a &quot;blind cone&quot;
       -- a set of directions in which displacement barely changes the
       RTT-ratio vector and detection sensitivity degrades.  The blind
       cone is quantifiable and, for isolated vantages, can span over
       70% of the compass.

   (3) Monotonicity Theorem (T-GDDP-3): adding an anchor NEVER reduces
       the Fisher Information of the system (Shannon chain rule applied
       to detection channels).  There exists a principled anchor-
       placement optimisation: minimise max_theta d*(v, theta) over
       candidate sites.

   All three are validated to three layers of proof: canonical (math),
   empirical (deterministic scripts, seed=1337), and real data (RIPE
   Atlas measured RTTs, 92,067 D-squared values from 40 probes, 11/11
   checks PASS).  No simulation-only claim is made.

   The GDDP/GDOP duality has not, to the author&#x27;s knowledge, been
   previously formalised.  VerLoc (Kohls and Diaz, USENIX Security
   2022) observes the directional effect empirically but does not derive
   d*(v, theta) or propose a geometric defence.

	 </t>
      </abstract>
   </front>
   <seriesInfo name="Internet-Draft" value="draft-melegassi-ippm-mvps-gddp-00" />
   
</reference>
