Research on Estimate Model of Chaff Cloud Radar Cross Section

Chaff is widely used in radar passive jamming. Effective chaff jamming depends on accurate estimate of the radar cross section (RCS) of a chaff cloud. Due to incomplete consideration of the effects of radar resolutions on chaff cloud RCS by existing estimate methods and models, the real RCS is consistently lower than anticipated. This will easily lead to create the issue of ineffective chaff jamming. In this study, we first evaluate how radar resolutions affect chaff cloud RCS and then present ideas and models for chaff cloud’s effective area and thickness. Second, we suggest a chaff cloud RCS estimate model. This estimate model first integrates the surface components of the effective slice area at a specific depth within the chaff cloud, followed by the slices in the effective thickness. The estimate model is capable of accurately reflecting the effects of radar resolutions, has a high calculation efficiency with required precision since it is based on classical absorption theory, and accounts for mutual couplings in chaff. The estimate model is appropriate for use in engineering practice, particularly to estimate chaff cloud RCS for a particular jammed radar.