Presented By: Honeywell Space Systems Payload Engineering Group 13350 U.S. Highway 19 North

1. A High Performance COTS based Vector Processor for Space Presented By: Honeywell Space Systems Payload Engineering Group 13350 U.S. Highway 19 North Clearwater, FL 33764-7290 Mail Station 893-5 Telephone (727) 539-4000

2. Rad Hard Vector Processor Concept Vector Math Scalar Math • DSP24 Serves as a “Math Co-Processor” to Accelerate Vector Math • FFT • Matrix Operations • Filters • General Purpose DSP for Scalar Math • Control Processor • DSP Algorithm Control • Interface to System Bus Vector Processor Block Data In Buffer Buffer Data Out Subsystems Control Bus GP DSP

3. Why the need? • High Performance COTS based DSP solutions for Space are virtually non-existent • Traditional DSP solutions for Space have been “point solutions” and not flexible • ASICs • FFT Chips • Limited re-programmability • RHVP addresses these issues by allowing fast, flexible and easy development of DSP solutions in both Hardware and Software • Modular Design • Flexible I/O • COTS based Software Development Environment (SDE) • Based on Valley Technologies software development tools • Low cost commercial RHVP boards for Software development

4. Typical Signal Processing Requirements The RHVP “Fits” Close to the Sensor sensors CPU I/O Processor DSP Time Dependent Processing (TDP) Object Dependent Processing (ODP) Mission Dependent Processing (MDP) Telemetry Data Rates HIGH MED LOW Operations/Sec Software LOW MED HIGH Complexity RHVP GP Processor For a generic signal processing system, the data transfer rates and operations per second tend to decrease, while software complexity and use of standard software increases, the RHVP meets the needs of real-time processing with the flexibility of programmability.

5. RHVP Architecture VP VECTOR PROCESSOR GP-DSP GENERAL PURPOSE DSP cPCI BUS

6. RHVP Advantages • High Performance DSP Board for Space • COTS • DSP Chips • Software Development Tools • Interface Mezzanine Modules • Form factor • Modular & Scalable design • I/O is often custom and unique for different applications • Only added the required I/O to the RHVP baseboard • Provided mezzanine sites for custom I/O • Multiple RHVP configurations supported • Payload host controller interfaces allow reconfiguration

7. RHVP Baseboard Layout SIDE (A) SIDE (B)

8. I/O Mezzanine Layout SIDE (A) SIDE (B)

9. RHVP Module • RHVP Baseboard • 6U x 160mm (standard cPCI form factor) • Weight: Approximately 2 lbs. • Power: 22.3 Watts (Max) • FPDP based PMC Mezzanine Card • 149 mm x 74 mm • Weight: < 0.5 lbs. • Power: 3.6 Watts (Max)

10. RHVP Applications Remote Sensing Satellites(LEO weather, Environmental,..) Global Weather Imagery Global Mapping Forestry RADAR Signal Filtering Image Correlation Pulse Compression (digital de-chirp) MTI (Moving Target Indicator) • Imagery • Hyperspectral Imaging (HSI) • Terrestrial Mapping • Compression • Communications • Cryptography • Multi-channel Filtering • Data Compression • Echo Cancellation

11. Scatterometer Algorithm With RHVP Decimate Filter 8K CFFT Processing Zero Padding De-Chirp De-Chirp Twiddle FIR Filter Weights Factors Weights V Science Data I FIR Filter FFT Processing ADC SERIAL • Echo Cells Dechirp V Decimate by M Power Detection • 12-BIT Q • Noise Power Zero Pad Sum Echo Bins • FIFO Sum Noise Bins • Sampling Clock Vector Processor GP DSP TSC21020 Process Flow Control

12. Scatterometer Algorithm - Performance Analysis Total Clock Cycles Zero Padding done by MMU-24 (no-overhead) Total Clock Cycles (Operations) Assumes Processing times for Receiver gate = 3.2ms A/D sampling rate =3.3MHz Processing Reduction of 5x is achieved with the DSP24 Vector Processor

13. JPEG Compression Algorithm With the RHVP DSP24 DCT Results 0 1 63 Frequency Components TSC21020 Quantizer Results 0 5 10 20 63 Frequency Components Compression Ratio Parameters 8 x 8 pixel block Quantizer (decimation) 2-D DCT Image/Sounder Source Data JPEG compression uses a variable length coding scheme to compress the data stream to an output file obtaining a 20:1 compression ratio without visual loss. The RHVP is highly efficient for processing the input data stream directly by performing the Discrete Cosine Transform followed by the Quantizing (decimation) process. Binary Encoder (Huffman) EDR Data Pre-Formatting (CCSDS) Serial Output Binary Stream 011010...

14. Hyperspectral Imaging Path of Satellite Archeological Agricultural Marine Applications Mineral Exploration • RHVP reprogrammability provides significant advantages for Hyperspectral Imaging • Spectral Bands of interest can be programmed on orbit • reduces processing overhead • saves power due to reduced processing • reduces downlink bandwidth required

15. Hyperspectral Imaging Algorithm with RHVP S e n s o r R e m o v e D C R e m o v e S u b t r a c t C a l i b r a t i o n & G e n e r a t e B a c k g r o u n d T h r e s h o l d & A t m o s p h e r i c D o t P o d u c t s f r o m s c e n e a r r a y N o r m a l i z a t i o n E n d - C a l c u l a t e T h r e s h o l d r a t i o s a n d e x c e e d a n c e f a c t o r s d e t e c t i o n Vector Processing Block SENSOR S e r i a l O u t p u t m e m b e r e x t r a c t i o n a n d d a t a f o r m a t G P D S P S u b s y s t e m RHVP

16. RHVP Compression Data Flow RHVP

17. How DSP is Used in Remote Sensing DSP Math Typical Spectral Response of Green Vegetation Sensor

18. Radiation Hardened Vector Processor Performance Characteristics • Vector Processor, 50MHz @ 3.3V • TSC21020 DSP, 50 MFLOPS 25MHz @ 5V • Two Mezzanine Sites • 1K CFFT 42us @50MHz • CFFT: 32 pt to 256K pt • PCI 2.2 Control Bus @ 33MHz • Compact PCI Form factor: • Baseboard: 6U - 160mm • Mezzanine: Standard ( 74mm x 149mm ) • Power: 15.0 Watts (typ), 22.3 Watts (max) • >100KRad Total Dose Schedule & Deliverables • Applicable to Many Applications • Optimized for High-Speed, • Low Latency DSP applications • Modular, Scalable Architecture • Algorithms are re-programmable • 2x to 4x Size, Weight and Power savings • compared to latest GP DSP only solution • COTS based ISA and development tools • Applications: • Data Compression • Radar • Image Processing DescriptionDelivery Period Vector Processor Chipset COTS 4Q99 Rad Hard 1Q01 Production RHVP Boards COTS 1Q01 Rad Hard 1Q02