A soil moisture retrieval model was developed using GNSS interference signal amplitude, according to the interference phenomenon and GNSS receiver SNR estimation method.Antenna gain,soil permittivity and noise effect was considered in this model.The AMPD algorithm was used to extract the interference peaks and valleys from noisy normalized interference power which were then used to retrieve soil permittivity and moisture,and a simulation was performed to verify its feasibility.Results showed that the soil moisture retrieval performance using interference valleys was better compared to that using peaks, the relatively stable retrieval elevation angle range is 5°~25°,and the retrieved value was more accurate when moisture is larger than 0.06 cm3/cm3,with the standard deviation around 0.01 cm3/cm3.%根据干涉效应和GNSS接收机信噪比估计方法，推导了利用GNSS干涉信号幅度进行土壤湿度反演的模型，建模过程考虑了天线增益、土壤介电常数和噪声的影响.提出了使用 AMP D 算法从含有噪声的归一化干涉功率曲线中提取干涉峰值与谷值，进而反演了土壤介电常数与土壤湿度的方法，并对其进行了仿真.结果表明，利用提取出来的干涉谷值进行反演性能比峰值好，相对稳定准确的卫星仰角范围为5°~25°，湿度大于0．06 cm3/cm3时反演结果更为准确，标准差在0．01 cm3/cm3左右波动.
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