{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9854552","patent":{"patent_number":"US-9854552","title":"Method and apparatus for improved Schmidl-Cox-based signal detection","assignee":null,"inventors":[],"filing_date":"2015-06-16T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["H04W","H04L","H04L","H04L","H04L"],"num_claims":19,"abstract":"Techniques are disclosed relating to detection of wireless signals. In some embodiments, a method includes generating an autocorrelation result for a training field in a received wireless message, generating differentiation information based on the autocorrelation result, and determining that one or more signal recognition criteria are met. In some embodiments, the signal recognition criteria include a first criterion that a first peak in the differentiation information satisfies a first threshold for at least a first time interval. In some embodiments, the signal recognition criteria include one or more additional criteria, including a second criterion that a second peak in the differentiation information satisfies a second threshold for at least a second time interval, wherein the first and second peaks have different polarities and/or a third criterion that the first peak corresponds to an autocorrelation result value that is below a particular autocorrelation threshold."},"analysis":{"summary":"The Method and Apparatus for Improved Schmidl-cox-based Signal Detection patent addresses the challenges of accurately detecting wireless signals in noisy and complex environments. The core innovation involves generating an autocorrelation result for a training field in a received wireless message and then deriving differentiation information from this result. By analyzing peaks and thresholds within this differentiation information, the system can more reliably identify the presence of a valid wireless signal.\n\nThis approach solves the problem of false positives and missed detections that can occur with traditional Schmidl-Cox algorithms, particularly in situations with high levels of interference. The key technical approach involves setting signal recognition criteria that include assessing whether peaks in the differentiation information satisfy predefined thresholds over specified time intervals. This multi-faceted approach ensures a more accurate and dependable signal detection process.\n\nThe business value of this technology lies in its ability to improve the performance and reliability of wireless communication systems. This can lead to faster connection times, more stable wireless performance, and improved efficiency in a wide range of applications, including mobile devices, IoT devices, and industrial automation systems. The market opportunity is significant, as the demand for reliable wireless communication continues to grow.\n\nThe Method and Apparatus for Improved Schmidl-cox-based Signal Detection patent provides a crucial advancement in wireless technology, paving the way for more robust and efficient communication systems. This innovation promises to enhance the user experience and improve the performance of wireless devices across various industries.","layman_explanation":"The Method and Apparatus for Improved Schmidl-cox-based Signal Detection patent aims to improve the reliability of wireless communication by enhancing the way devices detect signals. Imagine trying to have a conversation in a crowded room – it can be difficult to distinguish the person you're talking to from all the background noise. Wireless devices face a similar challenge when trying to identify and lock onto the correct signal.\n\n**1. What Problem Does This Solve?**\nThis patent addresses the problem of unreliable wireless connections caused by interference and noise. Existing signal detection methods can struggle to accurately identify the correct signal, leading to dropped connections, slow data speeds, and poor overall performance. This is particularly problematic in environments with a lot of wireless activity, such as urban areas or industrial settings.\n\n**2. How Does It Work?**\nThis patent works by improving the way devices analyze incoming wireless signals. Instead of just looking for a basic pattern, it uses a more sophisticated approach that involves analyzing the signal's characteristics over time. Think of it like recognizing a friend not just by their face, but also by the way they talk and move. The system looks for specific patterns in the signal's changes, which helps it to distinguish between genuine signals and noise.\n\n**3. Why Does This Matter?**\nThis patent matters because it has the potential to significantly improve the reliability of wireless communication. This can lead to faster data speeds, fewer dropped connections, and a better overall user experience. For businesses, this can translate into increased productivity, improved customer satisfaction, and reduced operational costs. The technology could be implemented in mobile phones, Wi-Fi routers, IoT devices, and other wireless communication systems.\n\n**4. What's Next?**\nThe future applications of this technology are promising. As wireless communication becomes increasingly ubiquitous, the need for reliable signal detection will only grow. This patent could pave the way for more robust and efficient wireless networks, enabling new applications and services. Market adoption may take time as manufacturers integrate the technology into their devices, but the potential benefits are significant. For investors, this patent represents an opportunity to invest in a technology that could shape the future of wireless communication.","technical_analysis":"The Method and Apparatus for Improved Schmidl-cox-based Signal Detection patent presents a detailed technical architecture for enhancing wireless signal detection. The system begins by receiving a wireless message and isolating the training field, which is crucial for synchronization and signal identification. The core of the innovation lies in the generation of an autocorrelation result for this training field.\n\nThe autocorrelation result is then processed to generate differentiation information. This differentiation information is derived by analyzing the changes in the autocorrelation signal over time. By identifying peaks and valleys in the differentiation information, the system can gain additional insights into the characteristics of the received signal.\n\nThe system then applies signal recognition criteria, which include assessing whether peaks in the differentiation information satisfy predefined thresholds for specific time intervals. These thresholds are carefully calibrated to distinguish between genuine signals and noise. The algorithm also considers the polarity of the peaks, requiring that positive and negative peaks meet different criteria.\n\nThe implementation details involve the use of digital signal processing (DSP) techniques to perform the autocorrelation and differentiation calculations. The system can be implemented in hardware or software, depending on the specific application requirements. The integration patterns involve incorporating the patented algorithms into existing wireless communication protocols.\n\nThe performance characteristics of the system are significantly improved compared to traditional Schmidl-Cox algorithms. The use of differentiation information reduces the rate of false positives and missed detections, leading to more reliable signal detection. The code-level implications involve optimizing the DSP algorithms for speed and efficiency. The Method and Apparatus for Improved Schmidl-cox-based Signal Detection offers a robust and efficient solution for wireless signal detection.","business_analysis":"The Method and Apparatus for Improved Schmidl-cox-based Signal Detection patent presents a significant business opportunity within the wireless communication sector. The market for reliable and efficient wireless signal detection is substantial, driven by the increasing demand for mobile devices, IoT devices, and industrial automation systems.\n\nThe competitive advantages of this technology stem from its ability to improve the accuracy and robustness of signal detection. By reducing false positives and missed detections, the system can enhance the performance and reliability of wireless communication systems. This can lead to increased customer satisfaction and reduced operational costs.\n\nThe revenue potential of this technology is significant. It can be monetized through licensing agreements with wireless device manufacturers, service providers, and industrial automation companies. The business models include per-device licensing, subscription-based licensing, and royalty-based licensing.\n\nThe strategic positioning of this technology is strong. It addresses a critical need in the wireless communication market and offers a clear competitive advantage over existing solutions. The ROI projections are favorable, with the potential for significant returns on investment.\n\nThe market opportunity size is substantial, with the global wireless communication market estimated to be worth billions of dollars. The Method and Apparatus for Improved Schmidl-cox-based Signal Detection patent provides a valuable asset for companies seeking to improve the performance and reliability of their wireless communication systems. This innovation has the potential to transform the wireless communication landscape.","faqs":null,"topics":["wireless signal detection","Schmidl-Cox algorithm","autocorrelation","differentiation","wireless communication","method","apparatus","improved"],"tech_cluster":null},"seo":{"title":"Improved Wireless Signal Detection - Method and Apparatus for Improved Schmidl-cox-based Signal Detection","description":"Discover the Method and Apparatus for Improved Schmidl-cox-based Signal Detection patent: Enhanced wireless signal accuracy & reduced interference. Full analysis here.","keywords":["wireless signal detection","Schmidl-Cox algorithm","autocorrelation","differentiation","wireless communication","signal processing","patent","patent US-9854552"]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9854552","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-9854552","citation_suggestion":"Patentable. \"Method and apparatus for improved Schmidl-Cox-based signal detection\" (US-9854552). https://patentable.app/patents/US-9854552","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9854552","json":"https://patentable.app/api/llm-context/US-9854552","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T03:03:19.942Z"}