Parameter Estimation for Interrupted Sampling Repeater Jamming Based on ADMM.

Area of Science:

• Electronic Warfare
• Signal Processing
• Radar Systems

Background:

• Interrupted Sampling Repeater Jamming (ISRJ) utilizes Digital Radio Frequency Memory (DRFM) to generate deceptive false targets.
• ISRJ poses a significant threat to radar systems by creating symmetrical secondary false targets.
• Accurate parameter estimation of ISRJ is crucial for developing effective countermeasures.

Purpose of the Study:

• To propose a computationally effective method for estimating ISRJ parameters.
• To address the limitations of traditional time-frequency (TF) methods in ISRJ analysis.
• To enhance the accuracy and stability of ISRJ parameter estimation.

Main Methods:

• Derivation of the analytical form of pulse compression for ISRJ signals.
• Transformation of the ISRJ parameter estimation problem into a nonlinear integer optimization model.
• Application of the Alternating Direction Method of Multipliers (ADMM) to decompose the optimization problem into sub-problems for estimating sample slice width and number.

Main Results:

• The proposed ADMM-based method effectively estimates the width and number of ISRJ sample slices.
• Numerical simulations demonstrate superior performance of the ADMM method compared to the traditional TF method.
• The method shows significant improvements in accuracy and stability for ISRJ parameter estimation.

Conclusions:

• The ADMM framework provides an effective and computationally efficient solution for ISRJ parameter estimation.
• The proposed method offers enhanced accuracy and stability, outperforming existing TF techniques.
• This research contributes to the advancement of electronic warfare defense strategies against sophisticated jamming techniques.