Office of Naval Research Naval Fire Support Program

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Office of Naval Research Naval Fire Support Program Assessment of Precision Guided Munition Terminal Accuracy Using Wide Area Differential GPS and Projected MEMS IMU Technology Ernie Ohlmeyer Tom Pepitone Naval Surface Warfare Center Dahlgren, Virginia 37th Annual Gun & Ammunition Symposium April 15-18, 2002 Panama City, Florida

Acknowledgement This Work was Performed as Part of the Naval Fire Support Project, Managed by Mr. S. Roger Horman (NSWCDD, T406). NFS is Funded by the Office of Naval Research s Air and Surface Weapons Technology Program. The ASWT Program is Managed by Mr. Gil Y. Graff (ONR 351).

What is this About? Demonstrate That a Set of Candidate Precision Guided Munitions (PGMs), Using Wide Area Differential GPS (WADGPS), Can Navigate and Guide to a Designated Target Location and Achieve Impact Errors on the Order of 1 Meter CEP.

Background Previous Investigations as Part of ONR s Precision Tactical Targeting Program* Have Verified That a WADGPS/UAV Targeting System Can Achieve Target Location Errors (TLEs) of 1 Meter CEP Per Km of Standoff Range. Projected Extensions of This Technology Should Enable TLEs of One-tenth this Value A Closely Related Question is Whether PGMs, Also Using WADGPS, Can Achieve Impact Errors Against Designated Targets On the Order of 1 Meter CEP Combined Performance Would Allow PGMs to Physically Strike Many Naval Fire Support Targets * Dr. Allan Evans and Dr. George Rogers of NSWC/Dahlgren are The Principal Investigators for Precision Tactical Targeting

Background (Continued) Successful Demonstration of 1 Meter CEP Accuracy for WADGPS-Guided PGMs, is a Precursor for Future Work in Which the Accuracy of the Integrated Targeting and Weapon System Will be Demonstrated. Secondary Objective is to Determine the Accuracy Drivers for the Targeting and PGM Systems, and to Define Affordable Design Changes that Allow 1 Meter CEP Errors on Target to be Achieved

Approach Use Detailed GPS Receiver and Satellite Models, Modified to Reflect Various WADGPS System Errors Consider Several Levels of WADGPS Accuracy, PGM Receiver Quality and IMU Quality Use Current ERGM Airframe Characteristics as Test Bed. Evaluate for Short, Medium, and Long Range Trajectories Evaluate Navigation Performance Using Detailed Model of Tightly Couples, GPS-Aided Navigation System (NAVSIM). NAVSIM is Legacy Model Successfully Utilized on Several Navy Development Programs Compute CEPs on Target for Various Ranges Use Existing Anti-Jam (AJ) Model to Assess PGM Impact Errors in Presence of Anticipated Jamming Levels Demonstrate that AJ Allows Graceful Degradation of CEPs in Jamming to Under a Few Meters

Candidate Airframe: Extended Range Guided Munition Long Range, GPS-Aided Precision Guided Munition Gun-Launched From Naval Warships to Provide Surface Fire Support Tightly-Coupled GPS/INS Navigation System Incorporates Advanced Anti-Jam Technology Allows Accurate Delivery of Submunition or Unitary Payloads on Target Under Development by Raytheon/TI Systems Naval Surface Warfare Center/Dahlgren is Technical Monitor

ERGM Trajectories

GPS/INS Monte Carlo Navigation Simulation

GPS Receiver Model Tightly-Coupled 12-Channel Capability (All in View) Clock Bias, Drift, Aging; Pseudo Range, D-Range Noise Orbital Perturbation Model Independent C/N O Per Channel GPS Patch Antenna Gain Pattern (Body-fixed) Dynamic Modeling @ 10 Hz, Update @ 1 Hz Multiple Jammer Array (CW, Broadband) GPS Tracking Status (Each Channel) Dynamic Satellite Selection Capability Provision for Aiding Receiver Dynamics by INS

GPS/INS Navigation Kalman Filter Tightly-Coupled GPS/INS Implementation Formulated in WGS-84 ECEF Propagate @ 10 Hz, Update @ 1 Hz Error States (17) Position (3) Velocity (3) Attitude (3) Accelerometer Bias (3) Gyro Drift (3) Clock Bias & Drift (2) Measurements Pseudo Range (8) Delta Range (8) IMU DV, Dq Dynamic Calibration of IMU Biases and Receiver Clock Errors

Tightly Coupled GPS/INS Implementation B θ IMU V B IMU 100 Hz Filter IMU Instrument Error Corrections δω Β δa Β IMU Output Compensation B θ COR B V COR Earth Rate Body to ECEF DCM C Β Ε Transform to ECEF Frame Filter Attitude Error Corrections φ Ε 100 Hz V Ε COR Earth Rate Integrate with Gravity & Coriolis Corrections g Filter Velocity Corrections E δν Corrected Accel V ECEF Gravity Computation 10 Hz R ECEF Filter Position Error Corrections δr Ε R ECEF INS WGS-84 Geodetic Model Filter Error States δ R Ε δv Ε φ Ε δω Β δa Β δc Position Velocity Attitude Gyro Drift Accelerometer Bias Receiver Clock Bias & Drift 1 Hz Kalman Filter A ECEF GPS Residuals δρ, δ ρ GPS Receiver Measurements ρ, ρ Aiding Data From INS R ECEF, V, ECEF A ECEF 1 Hz + ρ $, $ ρ $ - δc Pseudo and Delta Range Reconstruction Filter Clock Error Corrections V ECEF Satellite Position Data R ECEF Latitude Longitude Altitude

Anti-Jam Modeling

ERGM Antenna Array

Interference Cancellation Concept G S (f i ) P in Σ P out P J (f i ) TOP (SIGNAL) ANTENNA ANGLE FOR G S G J (f i ) G C X POWER DETECTOR f C BOTTOM (JAMMER) ANTENNA ANGLE FOR G J Canceller Gain: G C = -G S (f c )/G J (f c ) Z GPS Interference Cancellation System Antenna Geometry Canceller Block Diagram

(J/S) TOTAL With and Without Jammer Cancellation 40 NM Trajectory 120 70 60 100 50 Total (J/S) - db 80 Total (J/S) - db 40 30 60 20 10 40 0 50 100 150 200 250 Time - (sec) 0 0 50 100 150 200 250 Time - (sec) Total (J/S) Without Interference Cancellation Total (J/S) With Active Interference Cancellation

Error Budgets

Error Budgets Assumed Three Time-Phased Evolutions of WADGPS, Receiver & IMU Technology for Applications to Precision Guided Munitions: CASE (1) Current Single Frequency Receiver with GPS Absolute Positioning & Current IMU (Reflects Current ERGM System) CASE (2) Future Single Frequency Receiver with WADGPS Aiding & Near Term MEMS IMU CASE (3) Future Dual Frequency Receiver with WADGPS Aiding & Far Term MEMS IMU Note: Cases (2) and (3) Do Not Represent Capabilities of Current ERGM System (They are Considerably Better)

Error Budget Sources Near and Far Term Projections for MEMS IMU Errors Obtained from U.S. Army and DARPA Sources Error Projections Consolidated Into Composite Near and Far Term Error Sets for Current Analysis Near & Far Term WADGPS Error Budgets Based on NSWCDD Compilation from Industry & Government Surveys Vicki Lefevre, U.S. Army Aviation and Missile Research and Development Command, Redstone Arsenal, AL, personal communications, 29 May, 2001 Lt Col Greg Vansuch, DARPA/SPO, personal communications, 10 May, 2001 B. Larry Miller, Alan G. Evans, NAVSIM Analysis of Future Missile Navigation Using WADGPS-Aided Receivers, NSWCDD Internal Memo, May 1, 2001

ASSUMED MEMS IMU NEAR & FAR TERM ERROR BUDGETS Micro Electro Mechanical Systems (MEMS) Inertial Measurement Unit Near & Far Term Error Budget Estimates (3-s Value, per axis) Error Current ERGM BAE IMU Postulated Future MEMS Assumed in Reference [1] Near Term Army MEMS Far-Term Army MEMS DARPA Target Goal MEMS Composite Near Term MEMS Composite Far Term MEMS (A) (B) (C) (D) (E) (F) (G) Gyro Drift (deg/hr) 300 300 60 3 3 60 3 Gyro Scale Factor (ppm) 1200 1200 1050 300 600 1000 300 Gyro Random Walk (deg/rt-hr) 0.6 0.06 0.9 0.36 0.3 0.6 0.3 Gyro Misalignment (mrad) 1.2 1.2 2.1 0.6 not specified 1.2 0.6 Gyro G-Sensitivity (deg/hr/g) 3 3 3 1.5 not specified 3 1.5 Gyro G2-Sensitivity (deg/hr/g2) 0.9 0.9 not specified not specified not specified 0.9 0.9 Gyro Noise (deg/sec) 1.5 1.5 not specified not specified not specified 1.5.75 Accelerometer Bias (mg) 15 15 12 3 1.5 12 2 Accelerometer Scale Factor (ppm) 1200 1200 2100 900 900 1200 900 Accelerometer Random Walk 0.36 0.36 0.36 0.15 0.3 0.36 0.15 (m/s)/ hr Accelerometer Noise (mg) 15 3 not specified not specified not specified 15 7.5 Accelerometer Misalignment (mrad) 1.2 1.2 1.8 0.6 not specified 1.2 0.6 Table 1. Near Term and Far Term MEMS IMU Error Estimates

Assumed Current and WADGPS-Aided Navigation Errors Modeled Error Parameter Current Single-Frequency Receiver (Absolute Positioning) Future Single-Frequency WADGPS-aided Receiver Future Dual-Frequency WADGPS-aided Receiver SV Clock and Group Delay Errors Range Bias (m) 2.0 0.1 0.1 Delta Range Bias (m) 0.005 0.001 0.001 Ephemeris Errors Radial (m) 2.0 0.1 0.1 Crosstrack (m) 6.0 0.3 0.3 Alongtrack (m) 10.0 0.5 0.5 Effective User Range Error (m) 5.0 0.1 0.1 PGM Receiver Errors Range Noise Including Multipath (m) 1.5 1.0 1.0 Delta Range Noise Including Multipath (m) 0.02 0.02 0.02 Atmospheric Delay Errors Residual Ionosphere (m) 5 0.6 0.3 Residual Troposphere (m) 2 0.5 0.5 Residual Ionosphere (% of Klobuchar model) 30 3 1 Residual Troposphere (% of Altshuler model) 10 5 5 Inertial Measurement Unit Errors Current ERGM IMU (British Aerospace) Future IMU (Draper MEMS) Future IMU (Draper MEMS) Sources: (1) K. Kovach, New User Equivalent Range Error (UERE) Budget for the Modernized Navstar Global Positioning System (GPS), ION Tech. Mtg., Jan 2000. (2) GPS JPO User Equipment UERE Budget, 1991 (3) B. Remondi, Private Communication, April 2001

Precision Navigation 6-DOF Flight Simulation Noise and Error Sources Launch Angle Variation (Pitch, Yaw, and Roll) Launch Velocity Variation (Linear and Angular) Initial Tip Off Rates IMU Activation Delay Variation Accelerometer Errors Rate Gyro Errors INS Initialization Errors Motor Ignition Delay Variation Thrust Variations (Burn Time, Total Impulse) Thrust Misalignments Moment of Inertia Variations Atmospheric Variations Random Wind Model Aerodynamic Coefficient Uncertainty Model GPS Satellite Orbital Errors GPS Measurement Errors GPS Receiver Clock Bias and Drift GPS Random Time of Day at Launch

Preliminary Performance Results

PROJECTED ERGM WADGPS-AIDED NAVIGATION PERFORMANCE NO TARGET LOCATION ERRORS NO JAMMING 10 Precision Navigation & Timing - ERGM Performance No Jamming Case 1: Current ERGM CEP - (m) 8 Case 1 Case 2 Case 3 6 4 2 0 15 20 25 30 35 40 45 50 55 Target Range - (nm) Case 2: Near Term MEMS IMU + Single Freq. WADGPS RCVR Case 3: Far Term MEMS IMU + Dual Freq. WADGPS RCVR CEP VERSUS TARGET RANGE

PROJECTED ERGM WADGPS-AIDED NAVIGATION PERFORMANCE NO TARGET LOCATION ERROR SPEC JAMMING LEVELS AT TARGET ERGM ANTI-JAM ACTIVE 10 Precision Navigation & Timing - ERGM Performance ERGM Spec Jamming Conditions Case 1: Current ERGM CEP - (m) 8 6 4 Case 1 Case 2 Case 3 Case 2: Near Term MEMS IMU + Single Freq. WADGPS RCVR 2 0 15 20 25 30 35 40 45 50 55 Target Range - (nm) Case 3: Far Term MEMS IMU + Dual Freq. WADGPS RCVR CEP VERSUS TARGET RANGE

CUMULATIVE MISS DISTANCE DISTRIBUTION 40 NM RANGE NO JAMMING 120 Precision Navigation & Timing ERGM Performance - Clear Air - 40 nmi Trajectory Cumulative Probability - (%) 100 80 60 40 20 Case 1 Case 2 Case 3 0 0 5 10 15 20 Miss Distance - (m)

CUMULATIVE MISS DISTANCE DISTRIBUTION 40 NM RANGE ERGM SPEC JAMMING AJ SYSTEM ACTIVE 120 Precision Navigation & Timing ERGM Spec Jamming Conditions - 40 nmi Trajectory Cumulative Probability - (%) 100 80 60 40 20 Case 1 Case 2 Case 3 0 0 5 10 15 20 Miss Distance - (m)

Summary Closed Loop GPS-Aided Navigation and Guidance of a Precision Guided Munition (PGM) Was Evaluated for a Range of Current and Projected GPS/IMU Technologies. Demonstrated Feasibility of Achieving PGM Positional Accuracies on Target Between 1-2 Meters CEP Out to 40 Nm in GPS Jamming. Performance Was Achieved By Using a Future Wide Area Differential GPS System, in Combination with Future Advanced Receiver and IMU Systems. Study Assumed Precise Target Location Information Based on Results from Navy s Precision Tactical Targeting Program. Showed That an ERGM-Like Anti-Jam System Allows 1-2 Meter Accuracy to be Achieved in Presence of ERGM Broadband and CW Spec Jamming Levels at Target. Used Extended Range Guided Munition (ERGM) as Test Airframe for Initial WADGPS Evaluation. Future Efforts Will Consider a Range of Advanced PGM Concepts. Work Is Ongoing to Determine Accuracy Drivers for PGM Sub-Meter Positional Accuracy.