Multi-array Frequency Data Based Direct Position Determination in the Presenceof Unknown Nonuniform Noise

In practical applications of the multi-array passive localization, the nonuniform noise is caused by the multi-array distribution and the otherness of elements of a single array, which leads to the decline in accuracy. To solve the problem, a multi-array frequency data based direct position determinationalgorithm in the presence of unknown nonuniform noise is proposed for deterministic signals.The power of the nonuniform noise (covariance matrix of the noise)is first estimated using the covariance matrix of the array data. Then the estimation result is used to prewhitten the covariance matrix of the array data to lower the effect of the nonuniform noise. Simulation results demonstrate that the proposed methodperforms better than the traditional DPD algorithm in the presence of nonuniform noise, and show that the noise covariance matrix is well estimates.