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Core Technologies

RF Signal Analysis

Rincon Research has been a world leader in RF signal analysis solutions for over 30 years.

Complex Problems

  • Low signal power emitters
  • Moving emitters
  • High multipath environments
  • Dense co-channel interference environments
  • Complex propagation paths

Advanced Solutions

  • Time-based geolocation techniques
  • Frequency-based geolocation techniques
  • Interferometric geolocation techniques
  • Kalman-filter emitter tracking
  • Particle-filter emitter tracking
  • Realistic motion models
Example RF image

Whether it’s geolocation in urban environments with multipath variables or tracking HF transmissions through the ionosphere, Rincon Research utilizes the latest advances in RF signal analysis technologies to provide our customers with customized solutions to meet their specific needs.

High Performance Computing

Rincon Research develops, tests, and deploys mission critical applications that push the boundaries of today’s current computing capabilities in machine learning, big data, scientific visualization, and parallel computing.

Machine Learning

Rincon Research actively develops advanced techniques in machine learning that focus on getting a system to teach itself from lots of data rather than simply following preset rules.  We are actively researching machine learning applications in GIS, computer vision, automated navigation and sensing, and cognitive radio.  Our machine learning platforms are built on top of Google’s TensorFlow framework which allows us to quickly test new ideas and scale successful applications in a matter of weeks.

Areas of expertise:

  • Convolutional Neural Networks
  • Deep Learning
  • Gradient Boosted Trees
  • Reinforcement Learning

Big Data

Every day more than 2.5 quintillion bytes of data are created. Rincon Research develops solutions to collect, manage, interpret, and integrate this information into actionable insights.

Big Data

Scientific Visualization

Rincon Research developed and maintains Iris, an interactive, web-based, 3-D visualization tool for multi-dimensional analysis of scientific data. Iris enables scientists to collaboratively explore the relationships in multi-terabyte datasets on Windows, Linux, and Mac OS X.  Iris uses GPU acceleration, adaptive resolution techniques, and custom shaders to render datasets in real-time.

Features at a glance:

  • Visualize time-varying 4-dimensional datasets
  • Quickly share visualizations with colleagues through e-mail or a single link
  • Fully scriptable through a Javascript or Python API
  • Natively supports over 100+ different file formats
  • Zero-install – Runs on any modern web browser with WebGL support

High Performance Electronics Development

Rincon Research designs and implements innovative, cutting-edge solutions for the Department of Defense, the Intelligence Community, and the aerospace industry. Our systems are used for RF signal collection and analysis, and applications include satellite communications, radio direction finding, and GNSS enhancement. Rincon Research is a world leader in custom digital signal processing (DSP) and RF solutions since 1983 and high-performance FPGA-based electronics development since 2001. We continually add innovative capabilities to our products: reducing cost, adding functionality, and improving the user experience. Rincon Research earned its excellent reputation by providing effective solutions to challenging problems, free software and firmware upgrades, rigorous testing, flexible support, simple controls, and efficient packaging.

Custom Solutions

At Rincon Research, no job is too small or too large. Many of our standard products started off as small-quantity, custom solutions to challenging problems. We’ve implemented countless DSP functions into our FPGA-based solutions and products from other vendors. These functions include:

  • Adaptive filters
  • Interference cancellers
  • Sub-band tuners
  • Arbitrary resamplers
  • Polyphase channelizers
  • High-rate FFTs
  • Adaptive beamformers
  • Modulators
  • Demodulators
  • OFDM processors
  • Digital-spread-spectrum functions
  • Correlators
  • Geolocation functions
  • High-bandwidth memory interfaces
  • Multi-channel phase coherent receivers
  • High-speed serial links including SRIO, PCIExpress, and 10Gigabit Ethernet
Chassis

For those in the X-Midas and REDHAWK communities, our systems easily integrate into those software-defined radio architectures. We provide X-Midas option trees for control of many of our systems as well as timecode-accurate utilities for sending and receiving data between computers and FPGA-based systems.

Rincon Research can also provide more than just FPGA-based DSP systems because of our highly regarded expertise in analog and RF/microwave systems. We have quick reaction capability (QRC) for custom antenna design and fabrication, RF system design, electro-optical links, and custom filter and amplifier systems.

Boards

Up Front Pricing

Rincon Research offers long-term value to our customers. We do not inflate revenue with expensive licensing, hidden costs, or extra fees. Rincon’s products have one price, which includes hardware, standard firmware, control software, driver, and maintenance. Our business model does not include site-licenses or annual maintenance contracts. We provide upgrades free of charge to all customers for the life of the product. We also implement many feature requests to the standard product lines at no cost to the customer, and large, custom-development efforts are reasonably priced.

Quality

Rincon Research maintains an ISO 9001:2015-certified Quality Management System (QMS) for the manufacture of electronic assemblies/chassis and design of circuit card assemblies and integrated systems. Our QMS provides a controlled process approach for all aspects of realizing and delivering quality products. Our certificate is available for download here.

Support

At Rincon Research, we stand behind our products and systems for the long run. We provide flexible support: email, telephone, network, or in-person. Support requests go directly to the engineers who designed the product or system. If something doesn't work as expected, we provide immediate support to resolve the issue. Rincon has staff across the country who can travel to your location for on-site support. Our experienced engineers will work with you to find solutions, even if it turns out our products are functioning correctly.

Timecode

At Rincon Research, we design all of our DSP systems to support high-precision, high accuracy timecode. Many of our applications depend on it. We typically accept 1 PPS and 10 MHz signals from a time and frequency reference, as well as NTP, NMEA-0183, and IRIG-B sources for time-of-year information.

Simple Controls

Many of Rincon Research’s DSP products can be operated over a network without the need for special drivers or specific operating systems. Our control API is common across all of our network-controllable products, creating a familiar and consistent infrastructure. We define parameters with built-in types, valid ranges, and units to speed controller and GUI design and ease of software maintenance.

MB_GUI

Packaging

At Rincon Research, we design our circuit boards so that they can be cooled with cost-effective heat-sinks and forced air. When the situation requires, we have engineered conduction-cooled heatsinks and packages that permit operation with no airflow on a hot desert day.

Our standard 1U, 19 inch rack mount chassis holds our circuit cards and redundant power supplies and provides space for integrating other components your system needs, such as RF filters, amplifiers, single-board computers, disks, timing distribution, etc. In contrast, implementing the same capability in a “card-slot” architecture, such as microTCA or OpenVPX, could easily grow to 4 or 5 rack units.

Testing

From the simplest cable to our most complex systems, Rincon Research tests at the component and system levels to ensure our product will perform for your mission. We follow the principles of our ISO 9001:2015 certified Quality Management System to record test data and identify potential quality issues. We invest in the right equipment to verify performance, and skilled technicians and engineers test every product we deliver.

For more information, download the Engineering and Professional Services brochure.

Space Systems

With our wide-ranging space systems experience, Rincon Research can help you successfully complete challenging missions.

CubeSat Development

Rincon Research develops highly versatile, RF systems to meet your communication needs on CubeSats and SmallSats. Our AstroSDR is a complete, space-qualified RF payload: software-defined radio (SDR), FPGA signal processor, ARM processor, and data storage. It combines state-of-the-art capabilities with a flexible design, resulting in a compact, efficient solution for multiple mission requirements. The AstroSDR can be used for high-bandwidth cross-links, command and telemetry links, store-and-forward RF collection, data compression, and digital signal processing in an FPGA. Under the Air Force ARGOS program, Rincon Research’s AstroSDRs will be used for RF geolocation from a cluster of CubeSats.

Since 2000, Rincon Research has been at the forefront of CubeSat technology. Rincon Research has successfully partnered with the University of Arizona, the Arizona Space Grant Consortium, and Utah State University to conduct CubeSat research. As a result, Rincon Research received an SBIR award to develop a complete mission design and simulation to detect and locate transmitters that jam the International Space Station.

AstroSDR Angled Top View

Rincon’s AstroSDR

For more information about Rincon Research's SmallSat services, please download the SmallSat Services summary sheet.

For information about AstroSDR flight, see the AstroSDR Space Flight page.

LiDAR Technology

The ability to generate and analyze precise 3-D point cloud representations of urban canyons, densely foliated environments, and littoral regions is of great value across a wide variety of applications in defense, navigation, mapping, search and rescue, and many others.  Rincon Research Corporation realizes that there is immense value in coupling these measurements with the ability to autonomously detect man-made shapes and structures and provide that 3-D data to end users in near real time instead of hours or even days of manual analysis.

Rincon Research Corporation has established a solution to this problem through the development of automated feature extraction (AFE) algorithms for airborne LIDAR systems. This solution is designed to run in near-real time, provide high-confidence object detection and identification, and can support virtually all types of LIDAR sensor systems.

Our Automated Lidar-processing Software for Target And object Recognition (ALSTAR) technology provides near real time processing and ATR capability on a wide range of data sets:

Segmentation and classification: Ground (bare earth), Foliage, Void (within foliage), Planar surfaces, Linear segments, Curved segments/surfaces (if necessary), vehicles (modeled objects)

Higher level identification:  Trees / bushes, buildings, vehicles, walls power lines, etc.

Human Activity Detection

Vehicle Identification

With more than 13 years supporting DARPA, industry partners, and other government agencies, Rincon Research Corporation has extensive expertise in virtually all facets of LiDAR data processing, including:

  • Point cloud formation
  • Registration
  • Automated feature extraction
  • Automatic target identification
  • Near real-time processing / GPU optimization

Automated Feature Extraction

Lines of Communication Identification – Example of a near real-time automated identification of power lines located in a heavily foliated region using our ALSTAR processing engine.


Near Real-Time AFE/ATR

AFE processing of a Single-Photon LIDAR sensor collection

AFE processing of a Single-Photon LIDAR sensor collection – RRC's ALSTAR processing engine simultaneously processed all four AFE algorithms (ground segmentation, foliage classification, object classification, and void detection) in 8 seconds processing time on i7-based COTS PC.

High Density Point Cloud Processing

Example of automated feature extraction

Example of automated feature extraction (AFE) on complex, high-density point clouds in near real time.

For more information, contact the Rincon Research LiDAR team at LiDAR@rincon.com.