# AIMP-Based Power Allocation for Radar Network Tracking Under Countermeasures Environment

## TL;DR

This paper introduces a new power allocation method for radar networks to improve tracking accuracy in environments with jamming and varying target visibility.

## Contribution

The novel AIMP-based algorithm jointly considers jamming and target radar cross-section for adaptive power allocation.

## Key findings

- The proposed AIMP method improves anti-jamming capability and lowers intercept probability.
- Numerical simulations confirm the effectiveness of the algorithm in maintaining tracking accuracy.
- Target RCS prediction enhances the adaptability of power allocation strategies.

## Abstract

For radar system tracking, a higher radar echo signal to interference and noise ratio (SINR) implies a higher tracking accuracy. However, in a countermeasures environment, increasing the transmit power of a radar may not lead to a higher SINR due to suppressive jamming. Also, the variation in the target radar cross-section (RCS) is an important factor affecting the SINR, since to achieve the same SINR value, a large RCS value needs less transmit power and a small RCS value needs more transmit power. Therefore, to design an efficient power allocation strategy, the influence of the electronic jamming and the target RCS need to be jointly considered. In this paper, we propose an adaptive interacting multiple power (AIMP)-based power allocation algorithm for radar network tracking by jointly considering the electronic jamming and the target RCS, achieving better anti-jamming capability and lower probability of intercept (LPI) while not reducing the tracking accuracy. Firstly, the model of the radar network tracking is established, and the power allocation problem is formulated. Next, the target RCS prediction algorithm is introduced, and the AIMP power allocation method is proposed jointly considering the electronic jamming and the impact of the target RCS. Finally, numerical simulations are performed to verify the validity and effectiveness of the proposals in this paper.