Space Based Radar: Theory & Applications


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It is not clear how the professional and technical skills to be acquired by HQP will facilitate their transition to the labour market. Excellent: The proposal clearly describes how the proposed research will advance the capabilities and know-how of Canada's academia sector in the use and application of EO data. The knowledge area s is well defined. Good: The proposal provides a general description of how the proposed research will advance the capabilities and know-how of Canada's academia sector in the use and application of EO data. The knowledge area s is defined.

Average: The proposal provides a general description of how the proposed research will advance the capabilities and know-how of Canada's academia sector in the use and application of EO data. Poor: The proposal provides a weak description of how the proposed research will advance the capabilities and know-how of Canada's academia sector in the use and application of EO data. The knowledge area s is poorly defined.

It is unlikely that the work will make any significant contribution to the development of applications using the new RADARSAT-2 modes or to the development of algorithms, methods and information products based on the new modes. Work is assigned with excellent supervision and mentoring. Three or more researchers besides the Principal Investigator are proposed. Work is assigned with appropriate supervision and mentoring. Two researchers besides the Principal Investigator are proposed. Work is assigned with mediocre supervision and mentoring. One researcher besides the Principal Investigator is proposed.

It is not clear how high-quality work will be assigned. Excellent: The proposal includes collaboration with two or more external organizations, which may be universities, private sector companies or end-user organizations. The roles of each organization are clearly defined.

Space Based Radar Theory Applications - AbeBooks

The proposal identifies practical applications that will find widespread use. Good: The proposal includes collaboration with an external organization, which may be a university, private sector company or end-user organization. Average: The proposal includes intent to collaborate with an external organization, but the roles of each organization are not clearly defined. The proposal identifies practical applications, but they are not widespread.

Poor: The proposal gives a general idea of potential applications, but they are not widespread. Description: This criterion assesses the degree to which the proposal clearly states and describes the specific research objectives of the study. Evaluators will assess the feasibility of achieving the stated objectives.

Excellent: The proposal clearly states and describes specific research objectives of the study that are realistic. A schedule with milestones is included for tracking progress. The proposal discusses the feasibility of attaining success in reaching each objective in the proposed time frame and budget. Good: The proposal states and describes specific research objectives of the study that appear to be realistic. The proposal states that attaining success in reaching each objective in the proposed time frame and budget is feasible.

Average: The proposal states and describes specific research objectives of the study that may not be realistic. A schedule with milestones is included but is not adequate for tracking progress. The proposal does not show the adequacy of the proposed time frame and budget for attaining success in reaching the objectives. Poor: The proposal states and describes research objectives of the study that are not realistic.

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The schedule, if included, is not adequate to properly track progress. Attaining success in reaching each objective in the proposed time frame and budget does not appear likely. Description: This criterion assesses the quality of the training and mentoring environment. It assesses the quality of the participation of supervisors and mentors in the training and mentoring of HQP. Excellent: The role and responsibilities of supervisors and mentors for HQP are well described, and their level of participation in the training of HQP is excellent.

The training and mentoring environment will clearly contribute to producing the expected benefits. Proven and permanent mechanisms of communication, learning and sharing information are in place between the principal investigator, co-investigators, mentors, members of the team and HQP. The proposal clearly indicates how supervisors and mentors help HQP improve their technical, scientific, professional and communication skills as well as build confidence.

The proposal details how HQP will take part in the decision-making process related to the project. Feedback mechanisms are formalized. Good: The role and responsibilities of supervisors and mentors for HQP is adequately described, and their level of participation in the training of HQP activities is good.

The training and mentoring environment will likely contribute to producing the expected benefits. Communication, learning and information-sharing mechanisms between the principal investigator, co-investigators, mentors, members of the team and HQP are well described and correspond to the objectives. Details of the participation of HQP in the decision-making process of the project are provided. Feedback mechanisms are ad hoc. HQP may participate in unspecified conferences and workshops in order to present the results of their work. Average: The role and responsibilities of supervisors and mentors for HQP is adequately described, and their level of participation in the training of HQP activities is good.

Some communication mechanisms, learning and information-sharing between the principal investigator, co-investigators, mentors, members of the team and HQP are defined in the proposal. However, the proposal contains few details about how HQP will participate in the decision-making process in connection with the project. There are feedback mechanisms, but they are not well defined. Details on the participation of HQP in conferences and workshops for the presentation of the results of their work are vague.

There is no clear mechanism for HQP to take part in the decision-making process, share results and ideas, and get appropriate feedback from mentors and supervisors. There are no plans for HQP to present the results of their work at conferences or workshops. Description: This criterion assesses the proposed methodology that will be used for the research activities in order to meet the intended objectives. The evaluators will be looking for a sound and methodical approach to conducting the work and achieving the objectives. Excellent: The proposed methodology for the research activities shows a sound and methodical approach to conducting the work and achieving the objectives.


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An overview of the technical flow, steps and tasks is included. The location of the study site s is identified. An excellent data plan is included. Equipment and facilities required to support the methodology, along with their availability, are clearly identified.

Good: The proposed methodology for the research activities shows a good approach to conducting the work and achieving the objectives. A good data plan is included. Equipment and facilities required to support the methodology, along with their availability, are identified. Average: The proposed methodology for the research activities shows an adequate approach to conducting the work and achieving the objectives. An adequate data plan is included. The equipment and facilities required to support the methodology are identified, but their availability is not clear.

Space Based Radar Theory Applications

Poor: The proposed methodology for the research activities is not well described or is not appropriate. The technical flow, steps and tasks are not properly shown. It is not clear what equipment and facilities are required to support the methodology. No data plan is included.

Description: This criterion evaluates the proposed project team, their individual expertise and their roles in the achievement of the objectives of the project and the AO. The members of the Project team, including external partners, are clearly presented along with a description of their areas of technical capabilities and experience. The individual roles on the project are clearly defined. The members of the Project team, including external partners, are presented along with a description of their areas of technical capabilities and experience. The individual roles on the project are defined.

The individual roles on the project are not clearly defined. The Project team's experience is not properly showcased. Description: This criterion evaluates the organization of the work described in the technical proposal. Evaluators will assess the management plan for its completeness and its effectiveness in achieving the project objectives. Excellent: The proposal includes an excellent management plan. The named project manager has experience in overseeing projects of a similar nature.

The organization of the team is shown with roles of team members. A thorough WBS is included. A comprehensive schedule is included. A RAM is included that shows the level of effort for each team member. Good: The proposal includes a good management plan. The named project manager has some experience in overseeing projects of a similar nature. A WBS is included. A schedule is included. Average: The proposal includes an adequate management plan. The named project manager has limited experience in overseeing projects.

The organization of the team is shown, but the roles of team members are not clear. A basic WBS is included. A RAM is included but there are gaps. Poor: The management plan is poor or non-existent. The named project manager has little or no experience in overseeing projects. The organization of the team and the roles of team members are not clear.

A proper WBS is not included. The schedule is not in sufficient detail or is non-existent. A RAM is either not included or does not adequately show the level of effort for each team member. Description: Projects of this nature typically require special equipment, software, ancillary data, base maps, etc. In addition, field work may be needed. These items can be expensive and may not be covered by other funding sources. This criterion assesses the sufficiency of the overall project funding. Excellent: The proposal clearly shows the total funding required for the proposed research. Other sources of funding are clearly shown with the funding contributed by each.

The amount being requested is clearly stated as well as the areas to which it will be applied. There is no shortfall. Good: The proposal indicates the total funding required for the proposed research. Other sources of funding are indicated, but the amount contributed by each is not shown. There does not appear to be a shortfall. Average: The proposal indicates the total funding required for the proposed research.

The amount being requested is stated. There appears to be a shortfall. Poor: The proposal indicates the total funding required for the proposed research.


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The proposal is vague about other sources of funding. There is a shortfall. Description: This criterion evaluates key risks associated with the project and the mitigation strategies for each of the technical, management and programmatic risks. Excellent: The proposal clearly states the risks to the successful completion of the work within the stated time frame and budget. It proposes solid mitigation measures to be used should any of the risks be realized. Good: The proposal states the risks to the successful completion of the work within the stated time frame and budget.

Mitigation measures are proposed but are weak. Average: The proposal gives an indication of the risks to the successful completion of the work within the stated time frame and budget. His research interests include radar signal processing, blind identification, spectrum estimation, data recovery and wavform diversity. His research interests include radar signal processing, detection, estimation, multichannel adaptive processing, time series analysis, and array processing.

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Space Based Radar: Theory & Applications Space Based Radar: Theory & Applications
Space Based Radar: Theory & Applications Space Based Radar: Theory & Applications
Space Based Radar: Theory & Applications Space Based Radar: Theory & Applications
Space Based Radar: Theory & Applications Space Based Radar: Theory & Applications
Space Based Radar: Theory & Applications Space Based Radar: Theory & Applications
Space Based Radar: Theory & Applications Space Based Radar: Theory & Applications

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