Analysis of Multi-Sensor Radar Detection based on the TBD-HT Approach in ECM Environment

1. TM Yes Target Detection - fix threshold - CFAR Binary Integration in Hough Space Hough Transform Multi sensors No Analysis of Multi-Sensor Radar Detection based on the TBD-HT Approach in ECM Environment H. Kabakchiev1,V.Behar2, H.Rohling3, I.Garvanov4, V. Kyovtorov4,D.Kabakchieva4, 1Sofia University, Sofia, Bulgaria 2Institute for Parallel Processing, Sofia, Bulgaria 3Hamburg-Harburg Technical University, Hamburg, Germany 4Institute of Information Technologies, Sofia, Bulgaria • GOAL: • Mathematical Analysis of a centralized multi-sensor Polar Hough Detector structure. • Linear trajectories are detected. • Centralized multi-sensor Polar Hough Detector is used. • A multi-sensor Hough Detector structures is combined: with Fixed and Adaptive threshold detectors in respectively unambiguous and ambiguous interference. • Both multi-sensor Hough Detector structures are compared. • Comprehensive analytical expressions are derived. • Low speed flying targets are considered. • PROBLEM: The Stand-off-Jammer and Randomly Arriving Impulse Interference cause great difficulties in contemporary radar systems: • Example: The signal to noise ration at the radar input decreases. The probability of detection decreases. Target is lost. • Solutions: STAP, CFAR, multi-sensor approach etc. • Our solution: • Centralized multi-sensor Hough detector with CFAR structure. A brief mathematical analysis: • Fixed threshold detection (receiver noise and SOJ are known) For 1≤ L ≤2: where For L >2: Target • Cell-Average CFAR detection For 1≤ L ≤2: For L >2: Structure of the multi-sensor Hough detector • - Probability characteristics of Standard and Polar Hough detectors The total false alarm probability for independent Hough cells For NSC scans and a binary threshold of TM, the expression for probability of target detection in the Hough parameter space L number of radars fix – fixed threshold detector is used NUMERICAL RESULTS: cfar – adaptive threshold detector is used Detection probabilities in (r-t) space (INR=10dB) Detection probabilities in (r-t) space (INR=30dB) Detection probabilities in (r-t) space (without interference) T H E I M P R O V E M E N T : Detection probabilities in Hough space (INR=10dB) Detection probabilities in Hough space (INR=30dB) Detection probabilities in Hough space(without interference) • CONCLUSIONS: • The proposed multi-sensor TBD Hough detector is more effective that the conventional single channel one. • The Hough detector increases the radar detection characteristics. • The optimal number of sensors is 5 to 10. • The combination of the CFAR processing and multi sensor system in ambiguous interference gives similar results to the fixed thresholding in unambiguous interference. • This paper analytically concerns the potential multisensor TBD Hough signal processing possibilities, considering non moving target