GNSS空频自适应处理观测量偏差抑制算法

空频自适应处理具有良好的抗干扰能力，在卫星导航接收处理过程中得到广泛应用. 但是常规的空频自适应处理会使导航信号的伪距和载波相位产生测量偏差，无法满足高精度差分定位需求. 针对该问题，提出了一种基于阵列响应的空频自适应处理观测量偏差抑制算法，通过计算各个频格中心频点的阵列响应，对各中心频点阵列响应的相位进行校正，同时使校正频点阵列响应的幅度保持不变，既减小了空频自适应处理对观测量精度的影响，又不改变阵列合成方向图的零陷位置和深度. 该算法能够对伪距偏差和载波相位偏差同时进行抑制，同时具有不影响算法自由度，对抗干扰性能无影响的特点，可满足高抗干扰条件下的高精度定位需求. 理论分析和仿真结果均验证了该算法的有效性. 

Measurement Bias Suppressing Algorithm for GNSS Space-Frequency Adaptive Processing

Space-frequency adaptive processing (SFAP) is widely used in satellite navigation reception and processing for its ideal anti-jamming ability. However, the conventional SFAP can cause pseudo-range bias and carrier phase bias of the navigation signal, which cannot meet the requirements of high-precision differential positioning. To solve this problem, an algorithm was proposed based on array response to suppress the measurement bias of SFAP. By calculating the array response of the center frequency of each bin, the phase of the array response was calibrated, and the amplitude of the array response was remained unchanged, not only reducing the influence of SFAP on the measurement accuracy, but also unchanging the null position and depth of the array synthesis pattern. This algorithm can both suppress the pseudo-range bias and carrier phase bias, and there is no influence on the degree of freedom and the anti-jamming ability. Due to the above advantages, the algorithm can meet the requirements of high-precision positioning in strong interference condition. Theoretical analysis and simulation results verify the effectiveness of the algorithm.