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What We Do

Full-Stack
Engineering

RFSoC bring-up, coherent multi-channel architectures, radar DSP, and GPU post-processing — owned end-to-end by a five-engineer team, under active contracts for defense and commercial clients.

Program Experience

Where the work has lived.

Apexia's engineers have contributed to active modernization scopes across strategic, tactical, and surveillance radar domains. Program names withheld.

Specific program identification available under NDA.

Our Services

Ten service lines,
one signal chain.

Get your RFSoC platform from board-on-the-bench to coherent IQ in weeks, not quarters. Hands-on support across clocking, RFDC tile configuration, MTS alignment, and the cross-domain debug nobody on staff wants to own.

LMK04208 / LMK04828 clock tree design and lock sequencing
RF-ADC / RF-DAC tile configuration and calibration
Multi-Tile Synchronization (MTS) bring-up across ZCU111, ZCU208, ZCU216, RFSoC 4x2
Reference distribution and per-element sync verification
Cross-domain debug — RF, fabric, and host-side capture
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A productized 2–4 week fixed-firm-price engagement for radar modernization teams evaluating direct-RF sampling against legacy IF subsystems. Delivered as a written architecture trade study with quantization analysis, performance bounds, and a defensible recommendation.

Direct-RF vs. IF down-conversion tradeoff analysis
Quantization, BER, MDS, and ROC modeling
Per-element vs. subarray-level digitization comparison
Platform recommendation across the RFSoC family
Written deliverable for PDR / CDR review packages
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Independent design review for phase-coherent multi-channel architectures. The kind of review that finds the calibration assumption that would have cost you a board respin or a mission-day failure.

MTS architecture and reference distribution review
Per-element calibration approach assessment
Phase-coherence budget across RF, ADC, and PL fabric
Latency-deterministic pipeline review
Written findings with severity-ranked recommendations
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Production-grade DSP cores and digital beamforming pipelines for radar signal chains. Fixed-point VHDL and Simulink/Model Composer cores built for latency-deterministic real-time operation.

Pulse compression and matched filtering (NLFM-aware)
CFAR detection — CA, OS, GO/SO variants
Doppler filter banks and clutter rejection
Polyphase channelization and digital down-conversion
AESA digital beamforming subsystem development
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CUDA-based post-processing servers that take IQ off the wire and turn it into tracks, fused contacts, and operator-facing intelligence. Built for sustained gigabit-class ingest with archive and uplink built in.

ASTERIX-048 ingest and parsing pipelines
GPU-accelerated correlation and track fusion
Radar health monitoring and telemetry
Sustained-rate IQ archival to disk and remote storage
Satellite-uplink optimized data movement
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Rapid prototyping of digital receivers and DSP pipelines using the CASPER toolflow on Xilinx RFSoC platforms. Production-style verification on a research timeline.

CASPER bitstream generation targeting ZCU216 and ZCU111
Custom Simulink yellow-block development
tcpborphserver control paths and Python host tooling
Hybrid CASPER + native Vivado / Vitis flows
Bitstream verification and lab-floor bring-up
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SDR-based detection and direction-finding systems for drones and RF emitters — coherent multi-channel receivers, real-time detection processing, and field-demonstrable prototypes rather than paper studies.

Multi-channel coherent SDR receiver architectures
Real-time emitter detection and classification pipelines
Direction finding and bearing estimation
Drone-detection prototyping and live demonstration
Synthetic training-data pipelines for detection models
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The boards the signal chain lives on: multi-layer RF and mixed-signal design carried through signal-integrity and EMI/EMC validation, with qualification standards in view from the first schematic.

Multi-layer and RF front-end PCB design
High-speed data-acquisition layout
Electromagnetic simulation and modeling
Signal-integrity and EMI/EMC validation
DO-254 and MIL-STD design practices
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Structure and survival for RF hardware: enclosure and structural design with full GD&T, rapid prototyping, and environmental qualification to MIL-STD — carrying hardware from early prototype to flight-ready.

Enclosure and structural design with full GD&T
Additive and subtractive rapid prototyping
Thermal and structural analysis
Environmental qualification to MIL-STD-810 / -1540E
TRL maturation planning and test campaigns
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Deep-learning detection and denoising for noise-dominated regimes, backed by GPU/HPC compute and synthetic-data pipelines — the same stack behind NeuroRF, applied to your signal problem.

Deep-learning architectures for detection in noise
Synthetic training-data generation pipelines
GPU / HPC training and real-time inference
Modeling and simulation of RF signal chains
Seed-controlled, held-out benchmark methodology
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Our Process

From concept to deployment

STEP 01

Scope

Platform, signal environment, constraints, and success criteria — defined in writing before any work is quoted.

STEP 02

Architecture

Trade studies and design reviews with stated assumptions. You see the reasoning, not just the recommendation.

STEP 03

Development

Iterative milestones with simulation results at each gate. IP cores are developed against verification harnesses from day one.

STEP 04

Delivery

Source, simulation harnesses, verification reports, and documentation your team can maintain without us.

Start Your Project

Let's scope your project.

Describe the platform and the constraint you're up against. You'll get a direct answer from the team doing the work — including no if we're not the right fit.