Focusing on the problem that the RAIM augmented method aided by receiver clock bias can't adapt the periodic jump of receiver clock bias, a pseudorange outliers detection method is proposed with receiver clock bias estimation based on pseudorange point positioning theory. First the detection threshold of pseudorange outliers is calculated in real-time using receiver's maximum clock-bias, receiver's velocity, and positioning time difference. Then the correction of each satellite's pseudorange is judged in turn. To guarantee the detection effect, the calculation methods of receiver sampling period threshold and positioning time difference threshold are proposed. The theoretical calculations shows that the receiver sampling period should be less than 0.32s and the positioning time difference should be less than 3.2s when the maximum of receiver clock bias is 12 ?s and the speed is up to second cosmic velocity. The data analysis using the measured data of high dynamic receiver in GPS space service volume shows that the proposed method is free from the influence of local periodic modification of receiver clock bias, and can recognize the pseudorange outliers satellites even when the number of the satellites is reduced to 4 or 5. By using this method, the recognition rate of pseudorange outliers beyond the detection threshold is 100％ , and the maximum precision of pseudorange point positioning is 36 m after removing abnormal data.%针对接收机钟差辅助的RAIM检测方法无法适应接收机钟差周期性跳变的问题,根据伪距单点定位原理,提出了基于接收机钟差估计的伪距异常值检测方法.首先根据接收机钟差最大值、接收机速度以及两次定位时间差实时计算伪距异常值的核检门限,然后依次判断每颗卫星到接收机的伪距数据是否正常;为保证检测效果,提出了接收机采样周期门限和定位时间差门限的计算方法,理论计算表明,当接收机钟差最大值为12?s、速度达到第二宇宙速度时,接收机采样周期应小于0.32 s,定位时间差应小于3.2s.采用GPS空间服务空域高动态目标实测数据分析,结果表明:该方法不受接收机钟差本地周期性修正的影响,在卫星数量减少至4颗或5颗时,依然可以识别出伪距异常的卫星,超出核检门限的伪距异常值识别率达100％,异常数据剔除后的伪距单点定位精度最大值达36m.
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