This chapter offers an in-depth examination of integer ambiguity resolution in Global Navigation Satellite System (GNSS) positioning, a key process for achieving high-precision solutions. It begins by presenting the mixed-integer GNSS model, which serves as the foundational framework for all integer ambiguity resolution methods. The chapter then explores various strategies for integer estimation, addressing how unmodeled errors affect ambiguity resolution. Following this, the chapter outlines methods for evaluating and validating integer solutions. It also highlights the practical benefits of partial ambiguity resolution techniques, particularly in real-world GNSS applications. In response to the growing adoption of multi-frequency and multi-GNSS systems, the chapter further discusses methods for resolving multi-frequency ambiguities, providing valuable theoretical insights for GNSS users.

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Integer Ambiguity Resolution

  • Bofeng Li,
  • Zhetao Zhang,
  • Weikai Miao

摘要

This chapter offers an in-depth examination of integer ambiguity resolution in Global Navigation Satellite System (GNSS) positioning, a key process for achieving high-precision solutions. It begins by presenting the mixed-integer GNSS model, which serves as the foundational framework for all integer ambiguity resolution methods. The chapter then explores various strategies for integer estimation, addressing how unmodeled errors affect ambiguity resolution. Following this, the chapter outlines methods for evaluating and validating integer solutions. It also highlights the practical benefits of partial ambiguity resolution techniques, particularly in real-world GNSS applications. In response to the growing adoption of multi-frequency and multi-GNSS systems, the chapter further discusses methods for resolving multi-frequency ambiguities, providing valuable theoretical insights for GNSS users.