Small Language Model enabled Autonomous agent for Language-Conditioned Cognitive Radar
On the map: LLM agents and tool use → General LLM agent frameworks and benchmarks
Abstract (arXiv)
Modern radar systems require adapting their processing strategies in response to changing interference, clutter, and data availability. This paper introduces a framework for a small language model (SLM)-driven autonomous agent designed for language-conditioned cognitive radar, functioning as an intelligent controller for a suite of array signal processing tools. Given a natural-language command, the agent extracts radar-operation-related cues, selects an appropriate sequence of signal-processing methods, configures parameters, and invokes executable tools for numerical computation. Experiments with a synthetic uniform linear array (ULA) radar demonstrate that, given a natural-language command, the agent performs meaningful algorithm selection across diverse scenarios for sidelobe control, jammer suppression, multiple-null beamforming, coherent-source handling, and low-snapshot direction-of-arrival (DOA) estimation. Ablation results show that radar-specific prompting and physics-grounded tool execution are both required for reliable decisions and hallucination-free numerical results.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Placed in General LLM agent frameworks and benchmarks, one of 16 directions in LLM agents and tool use. Builds on 5 of its 9 references that are in the map. First posted on arXiv 12 Aug 2026.
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5 of 9 references.
References · 5
- 2020Language Models are Few-Shot Learnerscited by 32,199
- 2022Chain-of-Thought Prompting Elicits Reasoning in Large Language Modelscited by 12,302
- 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,355
- 2025Qwen3 Technical Reportcited by 8,195
- 2024Gemma: Open Models Based on Gemini Research and Technologycited by 889
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- 2023Agents: An Open-source Framework for Autonomous Language Agents
- 2019Identifying Cognitive Radars -- Inverse Reinforcement Learning using Revealed Preferences
- 2022How can a Radar Mask its Cognition?
- 2026RADAR: Redundancy-Aware Diffusion for Multi-Agent Communication Structure Generation