This paper addresses the problem of optimum waveform design for multiple target detection.The notion of poly-semantic radar, which gave improved performance through coincidence detection, is analyzed for high resolution radar system in presence of high density additive noise and Doppler shift.These sequences are optimized by employing Hamming backtrack algorithm (HBT).The detection capability of poly-semantic sequences is further improved through coincidence detection of the return signal.The simulation results show that the proposed sequences give improved robustness of noise and Doppler shift for HRR target detection compared to conventional pulse compression sequences.

Introduction The treatment of Ischaemic Heart Disease is the improvement of blood flow to underperfused myocardium. The mainstay of this treatment are Coronary Artery Bypass Graft surgery (CABG) and Percutaneous Transluminal Coronary Angioplasty PTCA). Even with the success of these interventions, there remain many patients with disabling angina who are not candidates for these procedures because of diffuse and small vessel disease, endstage coronary . vascular disease, low LVEF or elderly population over 65 patients of age with associated reversible risk factors . Like anaemia, Congestive Heart Failure, Systemic. Material & Methods To benefit the older population from the highly sophisticated technology of TMR we have evaluated 23 patients retrospectively. This analysis revolves round the pre and post-operative date and results with view to follow up regarding clinical improvement, regression of anginal class, complications in a detailed analysis. There are 18 males and 5 females with age range of 65 years - 8 3 years and a mean average age of 6 9 . 0 8 years. 21 are Saudi national. 20 patients belonged to stable angina group while 3 had unstable angina. The coronary angiograms revealed 20 patients with 3VD, 2 patients with 2VD and only 1 patient had single vessel. 14 patients hadnon graftable diffuse small vessel disease while 9 were graftable. 1 7 patients underwent left anterior thoracotomy while 6 underwent sternotomy. Risk factor evaluation revealed that 1 7 patients were hypertensive, 1 5 were diabetic and 5 were obese, 3 patients had hypercholesterolaemia and 1 patient had peripheral artery disease of both legs. Results All the patients were followed up at 6 months and 12 months and were compared to their values pf pre TMR level and data were analysed. Conclusion The prevalence and severity of coronary atherosclerosis increases so dramatically with age that more than one-half of all deaths in people aged 65 years of older are due to coronary disease and about three fourth of all deaths from ischaemic heart disease occurs in the elderly.

A new approach of signal design for multiple target detection in high resolution radar in presence of high additive noise and Doppler shift. The Hamming backtrack algorithm is designed and used for optimization by taking figure of merit and discrimination as the measure of goodness. The detection capability is further improved through coincidence detection. The simulation results shows the improved robustness of noise and Doppler shift for high resolution radar target detection.

Superiority of poly-alphabetic sequences (PAS) for pulse compression radar over the binary and ternary sequences was established earlier. However, the enlarged alphabets in poly-alphabetic sequences deteriorate the noise and Doppler robustness at higher lengths in high resolution radar (HRR) systems. In this paper, poly-semantic sequences (PSS) with restricted alphabet {+ 1,-1} are considered and their performance is analyzed in order to achieve superior detection performance for high resolution radar system in presence of high density additive noise and Doppler shift. The poly-semantic sequences are optimized by employing modified Hamming scan algorithm called Hamming backtrack algorithm (HBT) by taking figure of merit as the measure of goodness. The detection capability of poly-semantic sequences is further improved through coincidence detection of the return signal. The simulation results show that the proposed sequences give improved robustness of noise and Doppler shift for HRR target detection compared to conventional pulse compression sequences.

Side lobe suppression is extremely important in precisely determining the weak echo scattering region in the presence of range side lobes. This paper addresses the signal design problem for the detection of multiple/distributed targets in high resolution radar (HRR) application with improved side lobe suppression ratio. The simulation results indicate a significant improvement in terms of noise tolerance for HRR target detection; compared to conventional binary sequences

This paper addresses the problem of Signal design for multiple target detection. The notion of poly-semantic radar, which gave improved performance through coincidence detection, is analyzed for high resolution radar system in presence of high density additive noise and Doppler shift. These sequences are optimized by employing Hamming backtrack algorithm (HBT). The detection capability of poly-semantic sequences is further improved through coincidence detection of the return signal. The simulation results show that the proposed sequences give improved robustness of noise and Doppler shift for HRR target detection compared to conventional pulse compression sequences. Keywords— Hamming backtrack algorithm, high resolution radar,

In this paper an attempt has been made to evaluate the detection ability of mono-alphabetic sequences for the application to high resolution radar in presence of high dense additive noise environment. The performance of these sequences is evaluated in terms of their noise robustness, multiple target discrimination through coincidence detection and range resolution ability. Asymptotic figure of merit of proposed serially uncorrelated mono-alphabetic sequence are determined by employing exhaustive search algorithm rather than by analytical design. Hamming back-track algorithm is designed and used for optimization. The simulation results based on the outcomes of this design algorithm for poly-semantic sequences give improved noise robustness in HRR target detection compared to conventional pulse compression sequences.

Superiority of poly-alphabetic sequences (PAS) for pulse compression radar over the binary and ternary sequences was established earlier. However, the enlarged alphabets in poly-alphabetic sequences deteriorate the noise and Doppler robustness at higher lengths in high resolution radar (HRR) systems. In this paper, poly-semantic sequences (PSS) with restricted alphabets {+1,-1} are considered and their performance is analyzed in order to achieve superior detection performance for high resolution Doppler radar system in presence of high density additive noise and Doppler shift. The poly-semantic sequences are optimized by employing modified Hamming scan algorithm called Hamming backtrack algorithm (HBT) by taking figure of merit as the measure of goodness. The detection capability of poly-semantic sequences is further improved through coincidence detection of the return signal. The simulation results show that the proposed sequences give improved robustness of noise and Doppler shift for HRR target detection compared to conventional pulse compression sequences.