Products

AFB™

AFB™

APC™

Comm-Universal™

ALIN™

Med-Res™

Advanced Filter Bank Analog-to-Digital Conversion (AFB™)

Patented architecture and digital signal processing algorithms for ultra highspeed, high-resolution analog-to-digital and digital-to-analog conversion using a parallel array of state-of-the-art converters. This architecture provides the highest speed (widest bandwidth), highest resolution conversion available (e.g., 12 bits at > 6 GSPS).

Linearity Error Compensation (LinComp™)

Patented digital signal processing technology for dramatic reduction in harmonic and intermodulation distortion (e.g., 24 dB) in analog-to-digital converters, digital-to-analog converters, low noise amplifiers, mixers, or a combination of devices in an RF chain. Provides critical dynamic range improvement for applications such as SIGINT, RADAR, and RF Communications.

Adaptive Linearization (ALIN™) for High Power Amplifiers

Patented technology which provides a significant improvement in the linear operating range of RF power amplifiers. The use of unique and highly effective predistortion algorithms provide RF power amplifiers with significant improvement in its linear performance thereby increasing its effective efficiency and eliminating the need to use substantial back-off. Typically a 25 dB improvement in linearity can be obtained. Example capabilities include 1.2 GHz instantaneous bandwidth, >100 Watts output power, IMD3 < -53 dBc, efficiency > 50%, size < 180 cubic inches.

Adaptive Signal Cancellation (ASC™) Analog-to-Digital Conversion

Patented signal processing architecture and algorithm for extremely wide band, wide dynamic range digitization, for example, to provide ultra high RF receiver performance in high-power co-site interference environments (e.g., 14 bits at 1.5 GSPS).

Adaptive Parallel Combining (APC™) for Analog-to-Digital Conversion

Patented architecture and signal processing to maximize digitizer resolution (SNR and SFDR) over an extremely wide input amplitude range by providing instantaneous automatic gain control. APC™ uses a parallel array of analogto-digital converters, each with a different level of amplification. The approach provides instantaneous automatic gain management by adjusting the signal gain to use the full dynamic range of the ADC. For example, using four ADCs each with a 12 dB difference in gain can provide up to 48 dB improvement in SNR and SFDR, with the ability to immediately respond to the appearance of high-level signals without overloading the digitizer.

Adaptive Digitizer for Cognitive Radio (Comm-Universal™)

Communications system that activates a combination of V Corp’s DSP algorithms to optimize the performance of the system for the current signal environment. These techniques are configured automatically in real time. The combination of these DSP algorithms provides a very powerful adaptive digitizer to dramatically improve the performance of the receiver system (e.g., instantaneous bandwidth, receiver sensitivity, dynamic range, bit error rate, modulation density, etc.).

Non-Uniform Sampling for Efficient Analog-to-Information

Architecture and signal processing approach to highly efficient data collection using a sparse sampling clock optimally tuned to signals of interest. This technique significantly reduces the amount of data being captured by concentrating on the signals of interest and ignoring irrelevant information. This is a very powerful technique to perform the following: 1) reduce the average sample rate, thereby lowering power of the receiver, 2) reduce the digital data rate, thereby reducing the back-end digital signal processing requirements (size, power), 3) efficiently implement common functions (e.g., mixing, downconversion, interpolation, decimation, etc.), and 4) leverage a priori knowledge of the signal for more efficient processing (e.g., more efficient bandwidth allocation).

Harmonic Signaling

A proprietary waveform design dramatically improves the dynamic range of communications systems in the presence of interference and distortion. Applications include anti-jam communications and high data rate signaling in crowded signal environments.

Dynamic Localization

The advanced dynamic localization system uses triangulation of radio frequency emitters or repeaters to accurately deduce location, orientation, and movement over time. For example, multiple, compact (e.g., less than 0.5 inches) passive repeater tags can be used, each with a different return signature to differentiate between multiple tags and multiple users. The time difference of arrival is of each of the RFID return signals is precisely measured and used to mathematically deduce the location of each RFID tag. Precision is within 0.1” for rapidly moving targets.

Tracking Virtual Reality (Trac3D™)

Real time video and audio signal processing system that accurately places graphics and sounds in a three-dimensional virtual reality environment and alters the environment by tracking the user’s head movement. Applications include cockpit communications, virtual reality, and entertainment.

Medical Image Resolution Enhancement (Med-Res™)

Advanced digital signal processing algorithm to improve the resolution of medical imaging with coherent data fusion of multiple sensors. Signals of interest are detected and differentiated from noise and interference via statistical correlation among multiple sensors.