Core Insights - The article discusses the importance of wireless perception technology in the context of embodied intelligence and spatial intelligence, emphasizing its ability to overcome traditional sensory limitations and enhance human-machine interaction [1] Group 1: Wireless Perception Technology - Wireless perception is becoming a key technology that allows machines to "see" beyond physical barriers and detect subtle changes in the environment, thus reshaping human-machine interaction [1] - The technology captures the reflective characteristics of wireless signals, enabling the perception of movements and actions from several meters away [1] Group 2: Challenges in Data Acquisition - A significant challenge in developing large models that understand physical principles (like electromagnetism and acoustics) is the scarcity of relevant data, as existing models primarily learn from textual and visual data [2] - The reliance on real-world data collection is insufficient to support the vast data requirements of large models [2] Group 3: SynCheck Innovation - The SynCheck framework, developed by researchers from Peking University and the University of Pittsburgh, provides synthetic data that closely resembles real data quality, addressing the data scarcity issue [3] - The framework was recognized with the best paper award at the MobiSys 2025 conference [3] Group 4: Quality Metrics for Synthetic Data - The research introduces two innovative quality metrics for synthetic data: affinity (similarity to real data) and diversity (coverage of real data distribution) [5] - A theoretical framework for evaluating synthetic data quality was established, moving beyond previous methods that relied on visual cues or specific datasets [7] Group 5: Performance Improvements with SynCheck - SynCheck demonstrated significant performance improvements, achieving a 4.3% performance increase even in the worst-case scenario where traditional methods led to a 13.4% decline [13] - In optimal conditions, performance improvements reached up to 12.9%, with filtered synthetic data showing better affinity while maintaining diversity comparable to original data [13] Group 6: Future Directions - The research team aims to innovate training paradigms for wireless large models by diversifying data sources and exploring efficient pre-training task architectures [18] - The goal is to establish a universal pre-training framework for various wireless perception tasks, enhancing the integration of synthetic and diverse data sources to support embodied intelligence systems [18]

Group 1 - The core viewpoint of the article emphasizes the role of Zhongjin Qixin International Consulting in providing specialized consulting services for market share certification, product certification, and project feasibility reports, aimed at enhancing strategic decision-making for enterprises [2][3]. - Zhongjin Qixin International Consulting has 13 years of experience in compiling project feasibility reports and business plans, offering comprehensive solutions for project initiation, investment decisions, and risk assessments [2][3]. - The company utilizes a self-built database and a professional research team to provide customized solutions for various sectors, leveraging official and third-party data resources [2][3]. Group 2 - The article outlines the process of perception signal processing, which includes baseband generation, RF transmission, spatial propagation, RF reception, and baseband processing, highlighting the importance of extracting relevant information from wireless signals [3]. - It discusses the need for appropriate signal processing methods to enhance perception accuracy and efficiency, particularly in the presence of environmental interference and data characteristics [4][5]. - The article details various signal preprocessing techniques, including noise reduction, interference suppression, and data dimensionality reduction, which are essential for improving the quality of perception signals [4][5][8]. Group 3 - The article provides an overview of the global perception signal processing technology market, including market size analysis, supply-demand structure, and sales revenue trends [11][12]. - It analyzes the development trends of the perception signal processing technology market in major regions, including Europe, the United States, Japan, and South Korea, with a focus on market growth rates from 2019 to 2031 [11][12]. - The article also discusses the political, economic, and social environments affecting the perception signal processing technology industry in China, along with the technological development trends [12][13]. Group 4 - The article presents a comprehensive analysis of the operational status of the perception signal processing technology industry in China from 2019 to 2024, including total sales revenue and profit analysis [14][15]. - It evaluates the industry's financial indicators, such as sales gross margin and profit margin, to assess the overall financial health of the perception signal processing technology sector [16][17]. - The article highlights the competitive landscape of the perception signal processing technology industry, focusing on key competitive factors and strategies for market players [18][19]. Group 5 - The article forecasts the investment opportunities in the perception signal processing technology industry during the 14th Five-Year Plan period, identifying potential growth areas and technological development directions [20][21]. - It discusses the investment characteristics of the perception signal processing technology industry, including entry barriers and profitability factors [22][23]. - The article concludes with an evaluation of the investment value of the perception signal processing technology industry, emphasizing the potential for new growth points during the 14th Five-Year Plan [20][23].