Ambiguity resolution (AR) is an effective approach to improve the orbit accuracy of the low Earth orbit satellites using the Global Navigation Satellite System (GNSS). The most commonly used single-difference (SD) AR requires prior knowledge of the GNSS hardware biases, while the potential unavailability of the bias products may hinder the AR process for users. The track-to-track (T2T) AR can work as an alternative without the GNSS bias products, but the performance may be degraded by the receiver hardware biases. To provide a better alternative in this condition, a new AR method called SD T2T (SDT2T) is proposed in this study, where the GNSS and receiver biases can be greatly eliminated without external knowledge. The performance of the SD AR, SDT2T AR, and T2T AR methods are assessed based on the gravity recovery and climate experiment follow on and SWARM data. The results show that the improvements contributed by the SDT2T AR are comparable to the SD AR. The multiple iterations required by the T2T AR can be avoided by the SDT2T AR, and the accuracy of the T2T AR can be further improved with the preprocessed ambiguities of the SDT2T AR. Considering the efficiency and stable performance, the SDT2T AR is recommended as the preferred alternative single-receiver AR method in the absence of the GNSS hardware bias products.

模糊度分辨率（AR）是利用全球导航卫星系统（GNSS）提高低地球轨道卫星轨道精度的有效方法。最常用的单差分 (SD) AR 需要事先了解 GNSS 硬件偏差，而偏差产品的潜在不可用性可能会阻碍用户的 AR 过程。轨道到轨道 (T2T) AR 可以在没有 GNSS 偏差产品的情况下作为替代方案工作，但接收器硬件偏差可能会降低性能。为了在这种情况下提供更好的替代方案，本研究提出了一种称为 SD T2T (SDT2T) 的新 AR 方法，该方法可以在没有外部知识的情况下大大消除 GNSS 和接收器偏差。SD AR、SDT2T AR、T2T AR 方法基于重力恢复和气候实验后续和 SWARM 数据进行评估。结果表明，SDT2T AR 贡献的改进与 SD AR 相当。SDT2T AR 可以避免 T2T AR 所需的多次迭代，并且通过 SDT2T AR 的预处理模糊度可以进一步提高 T2T AR 的准确性。考虑到效率和稳定的性能，在没有 GNSS 硬件偏置产品的情况下，推荐 SDT2T AR 作为首选的替代单接收机 AR 方法。通过 SDT2T AR 的预处理模糊度，可以进一步提高 T2T AR 的准确性。考虑到效率和稳定的性能，在没有 GNSS 硬件偏置产品的情况下，推荐 SDT2T AR 作为首选的替代单接收机 AR 方法。通过 SDT2T AR 的预处理模糊度，可以进一步提高 T2T AR 的准确性。考虑到效率和稳定的性能，在没有 GNSS 硬件偏置产品的情况下，推荐 SDT2T AR 作为首选的替代单接收机 AR 方法。