Space–time adaptive processor based on power inversion (PI) criterion can effectively suppress interference for the global navigation satellite system (GNSS) receiver when the steering vector of the GNSS signal is unknown. However, existing space–time PI processing methods will introduce meter-level pseudo-code tracking biases into the GNSS receiver measurements which cause several meter-level position errors. A distortionless pseudo-code tracking space–time PI algorithm is proposed. It could not only suppress interference, but also introduce no pseudo-code tracking biases. The major novelty of the proposed method is ensuring the symmetry of the output signal's cross-correlation function by constraining coefficients. Several experiments are implemented to test the performance of the proposed algorithm. For comparison, the results of the PI algorithm and the minimum variance distortionless response (MVDR) algorithm are also shown. Results show that for the PI algorithm and the MVDR algorithm, pseudo-code tracking biases are introduced in different experiments; however, for the proposed algorithm, there are no pseudo-code tracking biases in those experiments. As a result, the effectiveness of the proposed method is verified.

中文翻译：

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基于PI准则的GNSS接收机无失真伪代码跟踪时空自适应处理器

当GNSS信号的导向向量未知时，基于功率倒置（PI）标准的时空自适应处理器可以有效地抑制对全球导航卫星系统（GNSS）接收器的干扰。但是，现有的时空PI处理方法会将仪表级伪代码跟踪偏差引入GNSS接收机测量中，这会导致若干仪表级位置误差。提出了一种无失真伪码跟踪时空PI算法。它不仅可以抑制干扰，而且不会引入伪代码跟踪偏差。该方法的主要新颖之处在于通过约束系数来确保输出信号互相关函数的对称性。进行了一些实验来测试所提出算法的性能。为了比较，还显示了PI算法和最小方差无失真响应（MVDR）算法的结果。结果表明，对于PI算法和MVDR算法，在不同的实验中引入了伪代码跟踪偏差。但是，对于所提出的算法，在那些实验中没有伪代码跟踪偏差。结果，验证了所提方法的有效性。