With the advent of the Deep Space Atomic Clock, operationally accurate and reliable one-way radiometric data sent from a radio beacon (i.e., a DSN antenna or other spacecraft) and collected using a spacecraft’s radio receiver enables the development and use of autonomous radio navigation. This work examines the fusion of radiometric data with optical data (i.e. OpNav) to yield robust and accurate trajectory solutions that include selected model reductions and computationally efficient navigation algorithms that can be readily adopted for onboard, autonomous navigation. The methodology is characterized using a representative high-fidelity simulation of deep space cruise, approach, and delivery to Mars. The results show that the combination of the two data types yields solutions that are almost an order of magnitude more accurate than those obtained using each data type by itself. Furthermore, the combined data solutions readily meet representative entry navigation requirements (in this case at Mars).

随着深空原子钟的出现，从无线电信标（例如，DSN天线或其他航天器）发送的可操作准确且可靠的单向辐射数据）并使用航天器的无线电接收器进行收集，从而可以开发和使用自主无线电导航。这项工作研究了辐射数据与光学数据（即OpNav）的融合，以产生鲁棒且准确的轨迹解决方案，包括选定的模型简化和计算效率高的导航算法，这些算法可轻松用于车载自主导航。该方法的特征在于对深空巡航，进近和向火星的发射进行了高保真模拟。结果表明，两种数据类型的组合所产生的解决方案比使用每种数据类型本身获得的解决方案精度高出一个数量级。此外，组合的数据解决方案可以轻松满足具有代表性的条目导航要求（在这种情况下为火星）。