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it is very difficult to statistically model a real stealth target by theoretical models which have analytical probability density function (pdf) expressions, because there are very few parameters which can be used to approximate the pdf of stealth target radar cross section (RCS) in conventional target models. A novel non-parametric detection technique for stealth target model F-117A based on time difference of arrival (TDOA) and legendreorthogonal polynomials methods is proposed. TDOA is applied for an accurate localization of stealth target based on the real stealth RCS data which predicted by Physical Optics (PO) approximation method to improve the performance of netted radar, while the Legendre orthogonal polynomials are used to reconstruct the pdf of stealth target RCS data. The proposed scheme improves RCS measurement accuracy and computes the stealth target position based on maximum – likelihood (ML) estimation. Simulations demonstrate that the new detection method gives much higher estimation accuracy of stealth target model and reduces location errors comparing to the traditional TDOA that using theoretical model which have analytical expressions.

An Accurate 3-D Netted Radar Model for Stealth Target Detection Based on Legendre Orthogonal Polynomials and TDOA Technique