Parameter Estimation Based on Sigmoid Transform in Wideband Bistatic MIMO Radar System under Impulsive Noise...

Area of Science:

• Radar Systems Engineering
• Signal Processing
• Statistical Inference

Background:

• Existing methods for wideband bistatic MIMO radar parameter estimation face limitations due to Gaussianity assumptions or the need for prior noise knowledge.
• Impulsive noise environments pose significant challenges for conventional statistical methods.

Purpose of the Study:

• To develop a novel, robust method for estimating target parameters in wideband bistatic MIMO radar systems operating in impulsive noise.
• To address the limitations of existing second-order and fractional lower-order statistics-based approaches.

Main Methods:

• A novel Sigmoid wideband ambiguity function (Sigmoid-WBAF) is proposed for estimating Doppler stretch and time delay.
• A new MUSIC algorithm utilizing a Sigmoid correlation function (Sigmoid-MUSIC) is developed for direction-of-departure (DOD) and direction-of-arrival (DOA) estimation.
• Analysis of the proposed method's boundness to symmetric alpha-stable noise and feasibility is conducted.

Main Results:

• The proposed Sigmoid-WBAF and Sigmoid-MUSIC algorithms effectively estimate target parameters in impulsive noise without requiring a priori noise information.
• Performance evaluation demonstrates the robustness and effectiveness of the Sigmoid-based approach.
• Derived Cramér-Rao bounds confirm the superior performance achieved by the proposed method.

Conclusions:

• The novel Sigmoid transform-based method offers a significant advancement for parameter estimation in wideband bistatic MIMO radar systems under impulsive noise conditions.
• The proposed techniques provide a viable solution where traditional methods fail, enhancing radar system capabilities.