# A Coherent Parameter Estimation Method for Distributed Coherent Jamming Systems

## TL;DR

This paper introduces a new method for estimating parameters in radar jamming systems that improves accuracy by 27% for time delay and 8.3% for phase difference.

## Contribution

A novel frequency-domain feature matching method is proposed to enhance coherent parameter estimation accuracy in distributed jamming systems.

## Key findings

- The proposed method improves time delay estimation accuracy by 27.0% compared to GCC algorithms.
- Phase difference estimation accuracy is improved by 8.3% using the new method.
- The method preserves intra-pulse signal features, leading to better estimation performance.

## Abstract

What are the main findings?
A coherent parameter estimation method based on frequency-domain feature matching is proposed. A weighting method based on frequency-domain feature matching can effectively preserve the intra-pulse features of the signal, thereby improving the accuracy of coherent parameter estimation.The simulation results demonstrate that, compared with the GCC algorithm, the proposed method improves the time delay estimation accuracy by 27.0% and the phase difference estimation accuracy by 8.3%.

A coherent parameter estimation method based on frequency-domain feature matching is proposed. A weighting method based on frequency-domain feature matching can effectively preserve the intra-pulse features of the signal, thereby improving the accuracy of coherent parameter estimation.

The simulation results demonstrate that, compared with the GCC algorithm, the proposed method improves the time delay estimation accuracy by 27.0% and the phase difference estimation accuracy by 8.3%.

What are the implications of the main findings?
The proposed method provides a robust estimation approach for coherent parameter estimation in distributed coherent jamming systems, and can significantly improve the estimation accuracy of time delay and phase difference.The proposed method exhibits a strong universality. With adaptive modifications, it can be extended to other signal processing fields where time delay and phase difference estimation are required.

The proposed method provides a robust estimation approach for coherent parameter estimation in distributed coherent jamming systems, and can significantly improve the estimation accuracy of time delay and phase difference.

The proposed method exhibits a strong universality. With adaptive modifications, it can be extended to other signal processing fields where time delay and phase difference estimation are required.

Regarding the problem of the accurate estimation of coherent parameters for the distributed coherent jamming system (DCJS) in active radar applications, this paper first establishes a transmit–receive signal model of the DCJS in the presence of coherent parameter estimation errors. Then, it analyzes and verifies that the generalized cross-correlation function weighting method causes a decrease in the estimation accuracy of coherent parameters due to whitening processing, which in turn impairs the synthesis efficiency of the DCJS. Finally, a coherent parameter estimation method based on frequency-domain feature matching is proposed. The weighting method based on frequency-domain feature matching can effectively preserve the intra-pulse features of signals, thereby improving the estimation accuracy of coherent parameters. The simulation results show that, compared with the existing algorithms, the proposed method improves the time delay estimation accuracy by 27.0% and the phase difference estimation accuracy by 8.3%.